b00548078 - sentiment analysis of social media content
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Sentiment Analysis of
Social Media ContentStuart Blair
BEng Hons Software Engineering
Prof. Maurice MulvennaGroup 10 – Quality Control
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Project Introduction
• Pro$ect will create an application toclassify an% &a'e use of t(e senti&entpolarity of social &e%ia content
• E)a&ple uses* – Co&panies can get opinions on pro%ucts
– Politicians can see if t(ey are +eing
viewe% favoura+ly• ,elivera+les*
– Senti&ent -nalysis -pplication
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Why Twitter?
• Glo+al own S/uare
• 00000000 2sers
•
134 of users in 25 • "67 &a'e up 804 of 25 users
• 804 of users actively post.
•
9000000 weets per %ay :831 persecon%;
• Pu+licly availa+le -P<
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Problems with Twitter
• Paro%y!Hu&our -ccounts
• "0000000 accounts are fa'e.
•
"94 of retweets are %ue to =Please>?
• ,etection of (u&our sarcas& orirony in weets
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Aim
• -i& – My ai& is to create an application t(at
can pull a speci@e% nu&+er of tweets
fro& twitter using a 'eywor% +ase%searc( an% t(en classify t(eir senti&entas positive negative or neutral
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Objectives
• Perfor& a literature review of aca%e&ic $ournalsan% %ocu&ents relate% to senti&ent analysisan% opinion &ining
•
ry e)isting senti&ent analysers to get an i%eaof w(at 'in% of perfor&ance an% accuracy t(eyac(ieve
• Perfor& a co&parison an% analysis of currently
%eploye% classi@cation algorit(&s use% insenti&ent analysis
• Create a ro+ust an% co&plete re/uire&entsspeci@cation
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iterature !eview
• >eview $ournals fro& S Paris6Su% (ave pu+lis(e% &anypapers a+out t(e su+$ect area
• -lso review relevant +oo's*
–Synt(esis ectures on Hu&ananguage ec(nologies :Bing iu"01";
– witter -Punning :5evinMa'ice "00; 3
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System "evelo#ment ifecycle
• Propose to use -gile %evelop&ent
• Engage sta'e(ol%ers constantly
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Pre%icta+le %elivery• -llows for c(ange easily
•
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!e$uirements S#eci%cation
• Dill +e create% using -gile 2ser Stories
• (e syste& &ust +e a+le to strea& realti&e weets +ase% on a 'eywor%
• (e syste& s(oul% +e a+le to searc((istorical weets +ase% on a 'eywor%
• (e syste& &ust +e a+le to classify t(e
senti&ent polarity of a corpus• (e syste& s(oul% allow users to save
t(eir results
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Im#lementation
• Pro$ect will +e i&ple&ente% in avausing witter7
• Grap(s will +e provi%e% +y FreeC(art
• G2< will +e %esigne% using Swing an%-D
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System &unctionality
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'(I)Prototy#e "esi*n
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Twitter e*al !e$uirements
• Co&pulsory* – in' to sign up for witter
– in' to creators account
– ,ata storage
– weet %isplay
• >eco&&en%e%* – witter colours an% fonts
– 2se of logo
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!is+s
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!is+ Im#orta
nce
Penalt
y
!is+
evel
"escri#tion
(e senti&entclassi@cationalgorit(& is notaccurate enoug(.
Me%iu& Me%iu&
Me%iu& -s long asaccuracyisnt too +a%it will +e @ne.
(e witter -P<(as cras(e% orgoes un%er&aintenance.
Hig( Hig( Hig(
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Pro*ress to "ate
• iterature review un%erway
• >e/uire&ents speci@cation al&ostco&plete
• Basic prototype create%
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,uestions?
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