Fluent Essays

For a team with multiple team members, one team member submits the answer and a file of names for all team members. Each of other team members submits a file that contains names of all team members.   Project Statements - Objective For this project, you are asked to implement a detection program supporting Short Message Service (SMS) spam filtering. The main concern is to design/generate features to differentiate SMS spam messages from legitimate ones, and run machine learning techniques (i.e., supervised learning) to classify SMS spam messages. Unlike email spam filtering, SMS spam filtering poses its own intrinsic problem because the length of text messages is relatively small (up to 160 characters or less). To come up with this project successfully, you must devise robust and efficient detection features to solve this problem. . - Dataset You will explore real SMS Spam Collection Data Set, corpus of mobile SMS labeled Spam/Legitimate. The SMS Spam collection contains a total  of 1324 SMS messages, which is composed of 82 spam and 1002 legitimate messages.  Each line has one SMS message including two columns separted by “,”: the second column indicates label if the SMS message is spam or legitimate (ham), and the first one is the content of the message (i.e., raw text). Table 1 shows some samples of SMS Spam/Legitimate messages in the given dataset. Table 1: SMS Spam/legitimate message samples Label Text spam For the most sparkling shopping breaks from 45 per person; call 0121 2025050 or visit www.shortbreaks.org.uk spam December only! Had your mobile 11mths+? You are entitled to update to the latest colour camera mobile for Free! Call The Mobile Update Co FREE on 08002986906 ham Yup next stop. ham No. I dont want to hear anything Project Requirements - Feature Extraction Write a java (or python, or other program langagues but you need to give a demo to me) program for the detection features from raw text and generate a feature set file. You will be programming FOUR detection features and are responsible for justifying the implementation strategy for each of the features in the report. If you are using any references in terms of the implementation, you should cite and explain it concisely. For project 1, the detection features are: Detection feature Description Number of Characters typed in Message In Table 1 above, it appears that SMS spam messages include relatively large number of characters than legitimate messages. From the SMS spammers (e.g., marketers) perspective, they are likely to use more characters available as long as it doesnt exceed the limit of SMS to send the sufficient information to customers for illicit profits.    Number of Currency Symbols To take the bait by mobile users, SMS spammers might emphasize the prize (or cash) using the currency symbol (e.g., £) in the SMS message. This is typically different from legitimate messages. Here is an example, “Please call our customer service representative on 0800 169 6031 between 10am-9pm as you have WON a guaranteed £1000 cash or £5000 prize!” Number of Numeric String One of the intrinsic factors from the SMS spams is a CONTACT number or PROMOTION code. Since the phone number is sensitive, it is not likely to be in the legitimate messages frequently. (Example: “PRIVATE! Your 2003 Account Statement for shows 800 un-redeemed S. I. M. points. Call 08719899230 Identifier Code: 41685 Expires 07/11/04”) The frequency of most popular term/word     - Binary Classification From WEKA, run different binary classifiers to identify SMS Spam messages using the feature set you devised. You should run the following FIVE classification algorithms with Cross Validation (by default, K =10) and report the experimental results you analyzed. Specifically, you must report  the best classifier with i) Accuracy, ii) True Positive rate (TPR), and iii) False Positive rate (FPR). Decision Tree (J48) Multinomial Naive Bayes K-Nearest Neighbors SVM (LibSVM)     RandomForest Programming Requirements We highly recommend you to use Java (or Python) and WEKA  for this assignment. You can also use other langagues but you need to clearly write the instrucitons to configure the compling and running environment to test your code. You might also be required to give a demo of your code. You need to write the programs to extract detection features and apply machine learning techniques using WEKA. Here is official Weka documentation (e.g., Weka Wiki, FAQ, Tutorials) link (http://www.cs.waikato.ac.nz/ml/weka/documentation.html). If the program only runs in your own machine, you should show the demo to TA or the instructor  in person. Your program should generate the output in the format of Attribute-Relation File Format (ARFF), which can be directly analyzed by the Weka.  Submission Requirements The assignment must be done originally. Please submit TWO files: i) A single tar (or zip) file that include all files below: Source codes: your java (or python) codes and a shell script files (if applicable) that you use for testing. Your code also needs to be well-documented, with any major constructs (i.e., functions) clearly commented. README: overall high-level documentation of instructions to run your program.(1 page) Report: well-documented summary that includes the annotation/justification of detection features and the experimental results you analyzed. (at least 5 pages, the more formal the better.)   Dataset: a feature set data in the format of ARFF to be tested ii)  a MS word (or Acrobat PDF, Plain Text) file, including ONLY source codes for originality checking. CS 7600: Trust Networks Fall 2018 Project 1: Machine learning-based SMS Spam Filtering (20 points) For a team with multiple team members, one team member submits the answer and a file of names for all team members. Each of other team members submits a file that contains names of all team members. Project Statements - Objective For this project, you are asked to implement a detection program supporting Short Message Service (SMS) spam filtering. The main concern is to design/generate features to differentiate SMS spam messages from legitimate ones, and run machine learning techniques (i.e., supervised learning) to classify SMS spam messages. Unlike email spam filtering, SMS spam filtering poses its own intrinsic problem because the length of text messages is relatively small (up to 160 characters or less). To come up with this project successfully, you must devise robust and efficient detection features to solve this problem. . - Dataset You will explore real SMS Spam Collection Data Set, corpus of mobile SMS labeled Spam/Legitimate. The SMS Spam collection contains a total of 1324 SMS messages, which is composed of 82 spam and 1002 legitimate messages. Each line has one SMS message including two columns separted by “,”: the second column indicates label if the SMS message is spam or legitimate (ham), and the first one is the content of the message (i.e., raw text). Table 1 shows some samples of SMS Spam/Legitimate messages in the given dataset. Table 1: SMS Spam/legitimate message samples Label Text spam For the most sparkling shopping breaks from 45 per person; call 0121 2025050 or visit www.shortbreaks.org.uk spam December only! Had your mobile 11mths+? You are entitled to update to the latest colour camera mobile for Free! Call The Mobile Update Co FREE on 08002986906 ham Yup next stop. ham No. I dont want to hear anything Project Requirements - Feature Extraction Write a java (or python, or other program langagues but you need to give a demo to me) program for the detection features from raw text and generate a feature set file. You will be programming FOUR detection features and are responsible for justifying the implementation strategy for each of the features in the report. If you are using any references in terms of the implementation, you should cite and explain it concisely. For project 1, the detection features are: Detection feature Description Number of Characters typed in Message In Table 1 above, it appears that SMS spam messages include relatively large number of characters than legitimate messages. From the SMS spammers (e.g., marketers) perspective, they are likely to use more characters available as long as it doesnt exceed the limit of SMS to send the sufficient information to customers for illicit profits. Number of Currency Symbols To take the bait by mobile users, SMS spammers might emphasize the prize (or cash) using the currency symbol (e.g., £) in the SMS message. This is typically different from legitimate messages. Here is an example, “Please call our customer service representative on 0800 169 6031 between 10am-9pm as you have WON a guaranteed £1000 cash or £5000 prize!” Number of Numeric String One of the intrinsic factors from the SMS spams is a CONTACT number or PROMOTION code. Since the phone number is sensitive, it is not likely to be in the legitimate messages frequently. (Example: “PRIVATE! Your 2003 Account Statement for shows 800 un-redeemed S. I. M. points. Call 08719899230 Identifier Code: 41685 Expires 07/11/04”) The frequency of most popular term/word - Binary Classification From WEKA, run different binary classifiers to identify SMS Spam messages using the feature set you devised. You should run the following FIVE classification algorithms with Cross Validation (by default, K =10) and report the experimental results you analyzed. Specifically, you must report the best classifier with i) Accuracy, ii) True Positive rate (TPR), and iii) False Positive rate (FPR). · Decision Tree (J48) · Multinomial Naive Bayes · K-Nearest Neighbors · SVM (LibSVM) · RandomForest Programming Requirements We highly recommend you to use Java (or Python) and WEKA for this assignment. You can also use other langagues but you need to clearly write the instrucitons to configure the compling and running environment to test your code. You might also be required to give a demo of your code. You need to write the programs to extract detection features and apply machine learning techniques using WEKA. Here is official Weka documentation (e.g., Weka Wiki, FAQ, Tutorials) link (http://www.cs.waikato.ac.nz/ml/weka/documentation.html). If the program only runs in your own machine, you should show the demo to TA or the instructor in person. Your program should generate the output in the format of Attribute-Relation File Format (ARFF), which can be directly analyzed by the Weka. Submission Requirements The assignment must be done originally. Please submit TWO files: i) A single tar (or zip) file that include all files below: · Source codes: your java (or python) codes and a shell script files (if applicable) that you use for testing. Your code also needs to be well-documented, with any major constructs (i.e., functions) clearly commented. · README: overall high-level documentation of instructions to run your program.(1 page) · Report: well-documented summary that includes the annotation/justification of detection features and the experimental results you analyzed. (at least 5 pages, the more formal the better.) · Dataset: a feature set data in the format of ARFF to be tested ii) a MS word (or Acrobat PDF, Plain Text) file, including ONLY source codes for originality checking. Late & Plagiarism Policy Please check the late/plagiarism policy on the course syllabus. 1 SMS Spam Corpus v.0.1 --------------------- 1. DESCRIPTION -------------- The SMS Spam Corpus v.0.1 (hereafter the corpus) is a set of SMS tagged messages that have been collected for SMS Spam research. It contains two collections of SMS messages in English of 1084 and 1319 messages, tagged acording being legitimate (ham) or spam. 1.1. Compilation ---------------- This corpus has been collected from free or free for research sources at the Web: - A list of 202 legitimate messages, probably collected by Jon Stevenson, according to the HTML code of the Webpage. Only the text of the messages is available. We will call this corpus the Jon Stevenson Corpus (JSC). It is available at: http://www.demo.inty.net/Units/SMS/corpus.htm - A subset of the NUS SMS Corpus (NSC), which is a corpus of about 10,000 legitimate messages collected for research at the Department of Computer Science at the National University of Singapore. The messages largely originate from Singaporeans and mostly from students attending the University. These messages were collected from volunteers who were made aware that their contributions were going to be made publicly available. The NUS SMS Corpus is avalaible at: http://www.comp.nus.edu.sg/~rpnlpir/downloads/corpora/smsCorpus/ - A collection of between 82 and 322 SMS spam messages extracted manually from the Grumbletext Web site. This is a UK forum in which cell phone users make public claims about SMS spam messages, most of them without reporting the very spam message received. The identification of the text of spam messages in the claims is a very hard and time-consuming task, and it involved carefully scanning hundreds of web pages. The Grumbletext Web site is: http://www.grumbletext.co.uk/ 1.2. Statistics --------------- There are two collections: - The SMS Spam Corpus v.0.1 Small (file: english.txt) contains a total of 1002 legitimate messages and a total of 82 spam messages. - The SMS Spam Corpus v.0.1 Big (file: english_big.txt) contains a total of 1002 legitimate messages and a total of 322 spam messages. As reported at [3] in the about section, the big corpus average number of words per message is 15.72, and the average length of a word is 4.44 characters long. 1.3. Format ----------- The files contain one message per line in raw text. Each line is finished with a coma-separated tag, which can be ham or spam. Here are some examples: Urgent! call 09061749602 from Landline. Your complimentary 4* Tenerife Holiday or £10,000 cash await collection SAE T&Cs BOX 528 HP20 1YF 150ppm 18+,spam Ok then i come n pick u at engin?,ham Anything lor... U decide...,ham Messages are not chronologically sorted. 2. USAGE -------- This corpus has been used in the following research. The SMS Spam Corpus v.0.1 Small: [1] Gómez Hidalgo, J.M., Cajigas Bringas, G., Puertas Sanz, E., Carrero García, F. Content Based SMS Spam Filtering. Dick Bulterman, David F. Brailsford (Eds.), Proceedings of the 2006 ACM Symposium on Document Engineering, Amsterdam, The Netherlands, ACM Press. Ámsterdam, The Netherlands, October 10-13, 2006. Preprint available at: http://www.esp.uem.es/jmgomez/papers/doceng06.pdf [2] Cormack, G. V., Gómez Hidalgo, J. M., and Puertas Sánz, E. 2007. Feature engineering for mobile (SMS) spam filtering. In Proceedings of the 30th Annual international ACM SIGIR Conference on Research and Development in information Retrieval (Amsterdam, The Netherlands, July 23 - 27, 2007). SIGIR 07. ACM, New York, NY, 871-872. DOI= http://doi.acm.org/10.1145/1277741.1277951. Preprint available at: http://www.esp.uem.es/jmgomez/papers/sigir07.pdf The SMS Spam Corpus v.0.1 Big: [3] Cormack, G. V., Gómez Hidalgo, J. M., and Puertas Sánz, E. 2007. Spam filtering for short messages. In Proceedings of the Sixteenth ACM Conference on Conference on information and Knowledge Management (Lisbon, Portugal, November 06 - 10, 2007). CIKM 07. ACM, New York, NY, 313-320. DOI= http://doi.acm.org/10.1145/1321440.1321486. Preprint available at: http://www.esp.uem.es/jmgomez/papers/cikm07.pdf The NUS SMS Corpus has been used in the following research: Yijue How and Min-Yen Kan (2005). Optimizing predictive text entry for short message service on mobile phones. In M. J. Smith & G. Salvendy (Eds.) Proc. of Human Computer Interfaces International (HCII 05). Lawrence Erlbaum Associates. Las Vegas, July 2005. ISBN 0805858075. Yijue How (2004). Analysis of SMS Efficiency. Undergraduate Thesis. National University of Singapore. Ming Fung Lee (2005). SMS Short Form Identification and Codec. Undergraduate Thesis. National University of Singapore. 3. ABOUT -------- The corpus has been collected by José María Gómez Hidalgo (http://www.esp.uem.es/jmgomez), and Enrique Puertas Sánz. We would like to thank: - Dr. Min-Yen Kan (http://www.comp.nus.edu.sg/~kanmy/) and his team for making the NUS SMS Corpus available. See: http://www.comp.nus.edu.sg/~rpnlpir/downloads/corpora/smsCorpus/ - Jon Stevenson for making his corpus available. See: http://www.demo.inty.net/Units/SMS/corpus.htm - Vodafone Research Spain for supporting part of this research. See: http://www.vodafone.es - Gordon V. Cormack for leading the experiments reported at [2] and [3]. See: http://plg.uwaterloo.ca/~gvcormac/ Dr. Min-Yen Kan is currently collecting a bigger SMS corpus at: http://wing.comp.nus.edu.sg:8080/SMSCorpus/ Other collections mentioned in the previous papers are: - An Spanish SMS Spam Corpus, built by us under a strict Non-Disclosure Agreement with Vodafone. We can not publish this corpus. - The Blog Comment Spam corpus collected by Mishne and Carmel and made available at: http://ilps.science.uva.nl/resources/commentspam - The Email Spam Corpus provided for the TREC 2005 Spam Filtering Track, available at: http://plg.uwaterloo.ca/~gvcormac/spam/ 4. LICENSE/DISCLAIMER --------------------- We would appreciate if: - In case you find this corpus useful, you make reference to the previous papers and the web page: http://www.esp.uem.es/jmgomez/smsspamcorpus in your papers, research, etc. - You send us a message to [email protected] in case you make use of the corpus. The SMS Spam Corpus v.0.1 is provided for free and with no limitations excepting: 1. José María Gómez Hidalgo, and Enrique Puertas Sanz, hold the copyrigth (c) for the SMS Spam Corpus v.0.1. 2. No Warranty/Use At Your Risk. THE CORPUS IS MADE AT NO CHARGE. ACCORDINGLY, THE CORPUS IS PROVIDED `AS IS, WITHOUT WARRANTY OF ANY KIND, INCLUDING WITHOUT LIMITATION THE WARRANTIES THAT THEY ARE MERCHANTABLE, FIT FOR A PARTICULAR PURPOSE OR NON-INFRINGING. YOU ARE SOLELY RESPONSIBLE FOR YOUR USE, DISTRIBUTION, MODIFICATION, REPRODUCTION AND PUBLICATION OF THE CORPUS AND ANY DERIVATIVE WORKS THEREOF BY YOU AND ANY OF YOUR SUBLICENSEES (COLLECTIVELY, `YOUR CORPUS USE). THE ENTIRE RISK AS TO YOUR CORPUS USE IS BORNE BY YOU. YOU AGREE TO INDEMNIFY AND HOLD THE COPYRIGHT HOLDERS, AND THEIR AFFILIATES HARMLESS FROM ANY CLAIMS ARISING FROM OR RELATING TO YOUR CORPUS USE. 3. Limitation of Liability. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR THEIR AFFILIATES, OR THE CORPUS CONTRIBUTING EDITORS, BE LIABLE FOR ANY INDIRECT, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES, INCLUDING, WITHOUT LIMITATION, DAMAGES FOR LOSS OF GOODWILL OR ANY AND ALL OTHER COMMERCIAL DAMAGES OR LOSSES, EVEN IF ADVISED OF THE POSSIBILITY THEREOF, AND REGARDLESS OF WHETHER ANY CLAIM IS BASED UPON ANY CONTRACT, TORT OR OTHER LEGAL OR EQUITABLE THEORY, RELATING OR ARISING FROM THE CORPUS, YOUR CORPUS USE OR THIS LICENSE AGREEMENT. Urgent! call 09061749602 from Landline. Your complimentary 4* Tenerife Holiday or � 000 cash await collection SAE T&Cs BOX 528 HP20 1YF 150ppm 18+ spam +449071512431 URGENT! 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Delivery within 28days. T Cs Box177. M221BP. 2yr warranty. 150ppm. 16 . p p�99 spam Please call our customer service representative on FREEPHONE 0808 145 4742 between 9am-11pm as you have WON a guaranteed �00 cash or �00 prize! spam You are a winner U have been specially selected 2 receive �00 cash or a 4* holiday (flights inc) speak to a live operator 2 claim 0871277810810 spam Hey sorry I didntgive ya a a bellearlier hunny,just been in bedbut mite go 2 thepub l8tr if uwana mt up?loads a luv Jenxxx. ham Are you comingdown later? ham HEY HEY WERETHE MONKEESPEOPLE SAY WE MONKEYAROUND! HOWDY GORGEOUS, HOWU DOIN? FOUNDURSELF A JOBYET SAUSAGE?LOVE JEN XXX ham CHA QUITEAMUZING THAT扴COOL BABE,PROBPOP IN & CU SATTHEN HUNNY 4BREKKIE! LOVE JEN XXX. PSXTRA LRG PORTIONS 4 ME PLEASE ham HEY BABE! FAR 2 SPUN-OUT 2 SPK AT DA MO... DEAD 2 DA WRLD. BEEN SLEEPING ON DA SOFA ALL DAY, HAD A COOL NYTHO, TX 4 FONIN HON, CALL 2MWEN IM BK FRMCLOUD 9! J X ham CHEERS U TEX MECAUSE U WEREBORED! YEAH OKDEN HUNNY R UIN WK SAT?SOUND扴 LIKEYOUR HAVIN GR8FUN J! KEEP UPDAT COUNTINLOTS OF LOVEME XXXXX. ham EY! CALM DOWNON THEACUSATIONS.. ITXT U COS IWANA KNOW WOTU R DOIN AT THEW/END... HAVENTCN U IN AGES..RING ME IF UR UP4 NETHING SAT.LOVE J XXX. ham YEH I AM DEF UP4 SOMETHING SAT,JUST GOT PAYED2DAY & I HAVBEEN GIVEN A� PAY RISE 4MY WORK & HAVEBEEN MADE PRESCHOOLCO-ORDINATOR 2I AM FEELINGOOD LUV ham Hi its Kate it was lovely to see you tonight and ill phone you tomorrow. I got to sing and a guy gave me his card! xxx ham Thinking of u ;) x ham Me too! Have a lovely night xxx ham Hey hun-onbus goin 2 meet him. He wants 2go out 4a meal but I donyt feel like it cuz have 2 get last bus home!But hes sweet latelyxxx ham Hi mate its RV did u hav a nice hol just a message 3 say hello coz haven抰 sent u 1 in ages started driving so stay off roads!RVx ham IM FINE BABES AINT BEEN UP 2 MUCH THO! SAW SCARY MOVIE YEST ITS QUITE FUNNY! WANT 2MRW AFTERNOON? AT TOWN OR MALL OR SUMTHIN?xx ham I notice you like looking in the shit mirror youre turning into a right freak ham IM LATE TELLMISS IM ON MY WAY ham Been up to ne thing interesting. Did you have a good birthday? When are u wrking nxt? I started uni today. ham IM GONNAMISSU SO MUCH!!I WOULD SAY IL SEND U A POSTCARD BUTTHERES ABOUTAS MUCH CHANCE OF MEREMEMBERIN ASTHERE IS OFSI NOT BREAKIN HIS CONTRACT!! LUV Yaxx ham Thanx 4 the time we抳e spent 2geva its bin mint! Ur my Baby and all I want is u!xxxx ham You stayin out of trouble stranger!!saw Dave the other day he抯 sorted now!still with me bloke when u gona get a girl MR!ur mum still Thinks we will get 2GETHA! ham THANX 4 PUTTIN DA FONE DOWN ON ME!! ham I know dat feelin had it with Pete! Wuld get with em nuther place nuther time mayb? ham U 2. ham Thanx u darlin!im cool thanx. A few bday drinks 2 nite. 2morrow off! Take care c u soon.xxx ham HIYA COMIN 2 BRISTOL 1 ST WEEK IN APRIL. LES GOT OFF + RUDI ON NEW YRS EVE BUT I WAS SNORING.THEY WERE DRUNK! U BAK AT COLLEGE YET? MY WORK SENDS INK 2 BATH. ham Sez hows u & de arab boy? Hope u r all good give my love 2 evry1 love ya eshxxxxxxxxxxx ham THING R GOOD THANX GOT EXAMS IN MARCH IVE DONE NO REVISION? IS FRAN STILL WITH BOYF? IVE GOTTA INTERVIW 4 EXETER BIT WORRIED!x ham I love u 2 babe! R u sure everything is alrite. Is he being an idiot? Txt bak girlie ham I luv u soo much u don抰 understand how special u r 2 me ring u 2morrow luv u xxx ham NOT MUCH NO FIGHTS. IT WAS A GOOD NITE!! ham JADE ITS PAUL. Y DIDN扵 U TXT ME? DO U REMEMBER ME FROM BARMED? I WANT 2 TALK 2 U! TXT ME ham LOOK AT AMY URE A BEAUTIFUL INTELLIGENT WOMAN AND I LIKE U A LOT. I KNOW U DON扵 LIKE ME LIKE THAT SO DON扵 WORRY. ham Getting tickets 4 walsall tue 6 th march. My mate is getting me them on sat. ill pay my treat. Want 2 go. Txt bak .Terry ham Alrite jod hows the revision goin? Keris bin doin a smidgin. N e way u wanna cum over after college?xx ham Wot about on wed nite I am 3 then but only til 9! ham Pete is this your phone still? Its Jenny from college and Leanne.what are you up to now?:) ham Sorry about that this is my mates phone and i didnt write it love Kate ham Have you finished work yet? :) ham HMM yeah if your not too grooved out! And im looking forward to my pound special :) ham Thank god they are in bed! ham Hey! do u fancy meetin me at 4 at cha � hav a lil beverage on me. if not txt or ring me and we can meet up l8r. quite tired got in at 3 v.pist ;) love Pete x x x ham IM REALY SOZ IMAT MY MUMS 2NITE WHAT ABOUT 2MORO ham Hi darlin im on helens fone im gonna b up the princes 2 nite please come up tb love Kate ham ER, ENJOYIN INDIANS AT THE MO..yeP. SaLL gOoD HehE ;> hows bout u shexy? Pete Xx ham No it was cancelled yeah baby! Well that sounds important so i understand my darlin give me a ring later on this fone love Kate x ham HI DARLIN ITS KATE ARE U UP FOR DOIN SOMETHIN TONIGHT? IM GOING TO A PUB CALLED THE SWAN OR SOMETHING WITH MY PARENTS FOR ONE DRINK SO PHONE ME IF U CAN ham Im in inperialmusic listening2the weirdest track ever by攍eafcutter john�-sounds like insects being molested&someone plumbing remixed by evil men on acid! ham HI DARLIN HOW WAS WORK DID U GET INTO TROUBLE? IJUST TALKED TO YOUR MUM ALL MORNING! I HAD A REALLY GOOD TIME LAST NIGHT IM GOIN OUT SOON BUT CALL ME IF U CAN ham HI DARLIN IM MISSIN U HOPE YOU ARE HAVING A GOOD TIME. WHEN ARE U BACK AND WHAT TIME IF U CAN GIVE ME A CALL AT HOME. JESS XX ham HI BABE U R MOST LIKELY TO BE IN BED BUT IM SO SORRY ABOUT TONIGHT! I REALLY WANNA SEE U TOMORROW SO CALL ME AT 9. LOVE ME XXX ham Hi im having the most relaxing time ever! we have to get up at 7am every day! was the party good the other night? I get home tomorrow at 5ish. ham OH FUCK. JUSWOKE UP IN A BED ON A BOATIN THE DOCKS. SLEPT WID 25 YEAR OLD. SPINOUT! GIV U DA GOSSIP L8R. XXX ham BOO BABE! U ENJOYIN YOURJOB? U SEEMED 2 B GETTIN ON WELL HUNNY!HOPE URE OK?TAKE CARE & I扡LSPEAK 2U SOONLOTS OF LOVEME XXXX. ham HELLO U.CALL WEN U FINISH WRK.I FANCY MEETIN UP WIV U ALL TONITE AS I NEED A BREAK FROM DABOOKS. DID 4 HRS LAST NITE+2 TODAY OF WRK! ham ALRITE HUNNY!WOT U UP 2 2NITE? DIDNT END UP GOIN DOWN TOWN JUS DA PUB INSTEAD! JUS CHILLIN AT DA MO IN ME BEDROOM!LOVE JEN XXX. ham U WILL SWITCH YOUR FONE ON DAMMIT!! ham Hi darlin i cantdo anythingtomorrow as myparents aretaking me outfor a meal. when are u free? Katexxx ham NOT ENUFCREDEIT TOCALL.SHALL ILEAVE UNI AT 6 +GET A BUS TO YOR HOUSE? ham Pete can you please ring meive hardly gotany credit ham CAN I PLEASE COME UP NOW IMIN TOWN.DONTMATTER IF URGOIN OUTL8R,JUST REALLYNEED 2DOCD.PLEASE DONTPLEASE DONTIGNORE MYCALLS,U NO THECD ISV.IMPORTANT TOME 4 2MORO ham Ill be at yours in about 3 mins but look out for me ham Hi darlin did youPhone me? Im atHome if youwanna chat. ham WOT U WANNA DO THEN MISSY? ham Sary just need Tim in the bollox &it hurt him a lot so he tol me! ham HOW ARE U? I HAVE MISSED U! I HAVENT BEEN UP 2 MUCH A BIT BORED WITH THE HOLIDAY WANT 2 GO BAK 2 COLLEGE! SAD ISNT IT?xx ham How u doin baby girl ?? hope u are okay every time I call ure phone is off! I miss u get in touch ham ILL B DOWN SOON ham Hello hello hi lou sorry it took so long 2 reply- I left mobile at friends in Lancaster just got it bak Neway im sorry I couldn抰 make ur b抎ay 2 hun! ham OH YEAH AND HAV A GREAT TIME IN NEWQUAY-SEND ME A POSTCARD !1 LOOK AFTER ALL THE GIRLS WHILE IM GONE(U KNOW THE 1IM TALKIN BOUT!)xx ham CHEERS LOU! YEAH WAS A GOODNITE SHAME U NEVA CAME! C YA GAILxx ham Wot u up 2? Thout u were gonna call me!! Txt bak luv K ham 2 celebrate my b抎ay y else? ham Fine if that抯 the way u feel. That抯 the way its gota b ham MY NEW YEARS EVE WAS OK. I WENT TO A PARTY WITH MY BOYFRIEND. WHO IS THIS SI THEN HEY ham I have no money 4 steve mate! ! ham IM GONNA MISS U SO MUCH ham Jane babes not goin 2 wrk feel ill after lst nite. Foned in already cover 4 me chuck.:-) ham Hiya do u like the hlday pics looked horrible in them so took mo out! Hows the camp Amrca thing? Speak soon Serena:) ham HELLOGORGEOUS HOWS U? MY FONE WAS ON CHARGE LST NITW WEN U TEXD ME. HOPEU AD A NICE WKEND AS IM SURE U DID LOOKIN 4WARD 2 C-IN U 2MRW LUV JAZ ham I REALLY NEED 2 KISS U I MISS U MY BABY FROM UR BABY 4EVA ham ALRITE SAM ITS NIC JUST CHECKIN THAT THIS IS UR NUMBER-SO IS IT?T.B* ham PISS IS TALKING IS SOMEONE THAT REALISE U THAT POINT THIS AT IS IT.(NOW READ IT BACKWARDS) ham U GOIN OUT 2NITE? ham Okay name ur price as long as its legal! Wen can I pick them up? Y u ave x ams xx ham Where wuld I be without my baby? The thought alone mite break me and I don抰 wanna go crazy but everyboy needs his lady xxxxxxxx ham Hey no I ad a crap nite was borin without ya 2 boggy with me u boring biatch! Thanx but u wait til nxt time il ave ya ham Hello-/@drivby-:0quit edrunk sorry iff pthis makes no senrd-dnot no how ^ dancce 2 drum n basq!ihave fun 2nhite x ros xxxxxxx ham Hi its Kate how is your evening? I hope i can see you tomorrow for a bit but i have to bloody babyjontet! Txt back if u can. :) xxx ham WHO ARE YOU SEEING? ham Ok im not sure what time i finish tomorrow but i wanna spend the evening with you cos that would be vewy vewy lubly! Love me xxx ham Oh thats late! Well have a good night and i will give u a call tomorrow. Iam now going to go to sleep night night ham Cheers for the message Zogtorius. I抳e been staring at my phone for an age deciding whether to text or not. ham I can抰 wait for cornwall. Hope tonight isn抰 too bad as well but it抯 rock night shite. Anyway i抦 going for a kip now have a good night. Speak to you soon. ham Hi babe its me thanks for coming even though it didnt go that well!i just wanted my bed! Hope to see you soon love and kisses xxx ham Just gettin a bit arty with my collages at the mo well tryin 2 ne way! Got a roast in a min lovely i shall enjoy that! ham MY NO. IN LUTON 0125698789 RING ME IF UR AROUND! H* ham HEY THERE BABE HOW U DOIN? WOT U UP 2 2NITE LOVE ANNIE X. ham Si.como no?!listened2the plaid album-quite gd&the new air1 which is hilarious-also bought攂raindance攁 comp.ofstuff on aphex抯 ;abel,u hav2hear it!c u sn xxxx ham HI DARLIN IVE JUST GOT BACK AND I HAD A REALLY NICE NIGHT AND THANKS SO MUCH FOR THE LIFT SEE U TOMORROW XXX ham I hope you arnt pissed off but id would really like to see you tomorrow. Love me xxxxxxxxxxxxxX ham SO IS TH GOWER MATE WHICH IS WHERE I AM!?! HOW R U MAN? ALL IS GOOD IN WALES ILL B BACK 慚ORROW. C U THIS WK? WHO WAS THE MSG 4? � RANDOM! ham Hope you抮e not having too much fun without me!! see u tomorrow love jess x ham AH POOR BABY!HOPE URFEELING BETTERSN LUV! PROBTHAT OVERDOSE OF WORK HEY GO CAREFUL SPK 2 U SN LOTS OF LOVEJEN XXX. ham Hey j! r u feeling any better, hopeSo hunny. i amnow feelin ill & ithink i may have tonsolitusaswell! damn iam layin in bedreal bored. lotsof luv me xxxx ham WOT U UP 2 J? ham HI BABE UAWAKE?FEELLIKW SHIT.JUSTFOUND OUT VIA ALETTER THATMUM GOTMARRIED 4thNOV.BEHIND OURBACKS � FUCKINNICE!SELFISH,DEVIOUSBITCH.ANYWAY,I扡 CALL U ham SHIT BABE.. THASA BIT MESSED UP.YEH, SHE SHUDVETOLD U. DID URGRAN KNOW?NEWAY, ILLSPEAK 2 U2MORO WEN IM NOT ASLEEP... ham HEY KATE, HOPE UR OK... WILL GIVE U A BUZ WEDLUNCH. GO OUTSOMEWHERE 4 ADRINK IN TOWN..CUD GO 2WATERSHD 4 A BIT? PPL FROMWRK WILL BTHERE. LOVE PETEXXX. ham Petey boy whereare you me and all your friendsare in theKingshead come down if you canlove Nic ham Aww you must be nearly dead!Well Jez isComing over toDo some workAnd that whillTake forever! ham alright babe, justthought i抎 sayhey! how u doin?nearly the endof me wk offdam nevamind!We will have 2Hook up sn if uwant m8? loveJen x. ham Right it wasnt you who phoned it was someone with a number like yours! ham Y?WHERE U AT DOGBREATH? ITS JUST SOUNDING LIKE JAN C THAT扴 AL!!!!!!!!! ham R U &SAM P IN EACHOTHER. IF WE MEET WE CAN GO 2 MY HOUSE ham Babes I think I got ur brolly I left it in English wil bring it in 2mrw 4 u luv Franxx ham WHAT TIME U WRKIN? ham HEY GIRL. HOW R U? HOPE U R WELL ME AN DEL R BAK! AGAIN LONG TIME NO C! GIVE ME A CALL SUM TIME FROM LUCYxx ham I HAVE A DATE ON SUNDAY WITH WILL!! ham Hi the way I was with u 2day is the normal way&this is the real me. UR unique&I hope I know u 4 the rest of mylife. Hope u find wot was lost. ham HI HUN! IM NOT COMIN 2NITE-TELL EVERY1 IM SORRY 4 ME HOPE U AVA GOODTIME!OLI RANG MELNITE IFINK IT MITE B SORTED BUT IL EXPLAIN EVERYTHIN ON MON.L8RS.x ham Thanx 4 2day! U r a goodmate I THINK UR RITE SARY! ASUSUAL!1 U CHEERED ME UP! LOVE U FRANYxxxxx ham Hey darlin.. i can pick u up at college if u tell me wen & where 2 mt.. love Pete xx ham HAPPY NEW YEAR MY NO.1 MAN ham ALRITE ham Wot u up 2 u weirdo? ham U haven抰 lost me ill always b here 4u.i didn抰 intend 2 hurt u but I never knew how u felt about me when Iwas+marine&that抯 what itried2tell urmom.i careabout u ham Wot is u up 2 then bitch? ham PLEASSSSSSSEEEEEE TEL ME V AVENT DONE SPORTSx ham No got new job at bar in airport on satsgettin 4.47per hour but means no lie in! keep in touch ham Im just wondering what your doing right now? ham I love u 2 my little pocy bell I am sorry but I love u ham HELLO PEACH! MY CAKE TASTS LUSH! ham THANX4 TODAY CER IT WAS NICE 2 CATCH UP BUT WE AVE 2 FIND MORE TIME MORE OFTEN OH WELL TAKE CARE C U SOON.C ham PICK UR FONE UP NOW U DUMB? ham There the size of elephant tablets & u shove um up ur ass!! ham I walked an hour 2 c u! doesn抰 that show I care y wont u believe im serious? ham Try neva mate!! ham I抦 cool ta luv but v.tired 2 cause i have been doin loads of planning all wk we have got our social services inspection at the nursery! Take care & spk sn x. ham Sounds better than my evening im just doing my costume. Im not sure what time i finish tomorrow but i will txt you at the end. ham Oh ok i didnt know what you meant. Yep i am baby jontin ham Awww dat is sweet! We can think of something to do he he! Have a nice time tonight ill probably txt u later cos im lonely :( xxx. ham cud u tell ppl im gona b a bit l8 cos 2 buses hav gon past cos they were full & im still waitin 4 1. Pete x ham SORRY IM STIL FUCKED AFTER LAST NITE WENT TOBED AT 430 GOT UP 4 WORK AT 630 ham How are you babes. Hope your doing ok. I had a shit nights sleep. I fell asleep at 5.I抦 knackered and i抦 dreading work tonight. What are thou upto tonight. X ham Ok darlin i supose it was ok i just worry too much.i have to do some film stuff my mate and then have to babysit again! But you can call me there.xx ham Mmm thats better now i got a roast down me! i抎 b better if i had a few drinks down me 2! Good indian? ham YO YO YO BYATCH WHASSUP? ham Hi Jon Pete here Ive bin 2 Spain recently & hav sum dinero left Bill said u or ur 憆ents mayb interested in it I hav 12 000pes so around � tb James. ham ELLO BABE U OK? ham Hi juan. Im coming home on fri hey. Of course i expect a welcome party and lots of presents. Ill phone u when i get back. Loads of love nicky x x x x x x x x x ham hi my darlin im on my way to London and we have just been smashed into by another driver! and have a big dent! im really missing u what have u been up to? xxx ham hi baby im cruisin with my girl friend what r u up 2? give me a call in and hour at home if thats alright or fone me on this fone now love jenny xxx ham GRAN ONLYFOUND OUT AFEW DAYS AGO.CUSOON HONI ham CHEERS FOR CALLIN BABE.SOZI CULDNT TALKBUT I WANNATELL U DETAILS LATER WENWECAN CHAT PROPERLY X ham HEY DAS COOL... IKNOW ALL 2 WELLDA PERIL OF STUDENTFINANCIAL CRISIS!SPK 2 U L8R. ham WOT STUDENT DISCOUNT CAN U GET ON BOOKS? ham NONE!NOWHERE IKNO DOESDISCOUNT!SHITINNIT ham What are youdoing later? Sar xxx ham Im on gloucesterroad what are uup to later? ham Im at arestaurant eating squid! i will be out about 10:30 wanna dosomething or is that to late? ham Hi missed your Call and my mumHas beendropping red wine all over theplace! what is your adress? ham Al he does is moan at me if n e thin goes wrong its my fault&al de arguments r my fault&fed up of him of himso y bother? Hav 2go thanx.xx ham Now u sound like manky scouse boy steve like! I is travelling on da bus home.wot has u inmind 4 recreation dis eve? ham DO U WANT 2 MEET UP 2MORRO ham HEY MATE! HOWS U HONEY?DID U AVE GOOD HOLIDAY? GIMMI DE GOSS!x ham Ding me on ya break fassyole! Blacko from londn ham Ill call u 2mrw at ninish with my address that icky American freek wont stop callin me 2 bad Jen k eh? ham Hi neva worry bout da truth coz the truth will lead me 2 ur heart. It抯 the least a unique person like u deserve. Sleep tight or morning ham U R THE MOST BEAUTIFUL GIRL IVE EVER SEEN. U R MY BABY COME AND C ME IN THE COMMON ROOM ham WHEN THE FIRST STRIKE IS A RED ONE. THE BIRD + ANTELOPE BEGIN TOPLAY IN THE FIELDOF SELFINDEPENDENCE BELIEVE THIS + THE FLOWER OF CONTENTION WILL GROW.RANDOM! ham THAT扴 ALRITE GIRL U KNOW GAIL IS NEVA WRONG!!TAKE CARE SWEET AND DON扵 WORRY.C U L8TR HUN!LOVE Yaxxx ham DO NOT B LATE LOVE MUM ham Where @ ham Hi Petey!noi抦 ok just wanted 2 chat coz avent spoken 2 u 4 a long time-hope ur doin alrite.have good nit at js love ya am.x ham OH RITE. WELL IM WITH MY BEST …