BAB V PENUTUP
5.2 Saran
Penulis menyarankan pengembangan penelitian lebih lanjut tentang pengklasifikasi teks sebagai berikut:
1. Pada penelitian selanjutnya dapat menggunakan metode pengklasifikasi teks lain seperti Naïve Bayes (NB), K-Nearest Neighbour (kNN), C4.5 dan lain-lain.
2. Untuk penelitian berikutnya dapat menggunakan seleksi fitur yang lain seperti Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Chi Square dan lain-lain agar dapat dibandingkan hasilnya yang optimal.
3. Untuk penelitian berikutnya diharapkan tidak hanya untuk mengklasifikasi review film saja tetapi juga dapat menggunakan review lain seperti review buku, review online shop dan lain-lain.
4. Bahasa pada review yang digunakan juga tidak hanya bahasa Inggris tetapi
dapat menggunakan bahasa Indonesia atau bahasa asing lainnya.
DAFTAR PUSTAKA
Ahmad, E., Sazzad, M. A. U., Islam, M. T., Azad, M., Islam, S., & Ali, M. H.
2017. Challenges, comparative analysis and a proposed methodology to predict sentiment from movie reviews using machine learning. Dengan jumlah data yang lebih besar Analytics and Computational Intelligence (ICBDAC), 86-91. https://doi.org/10.1109/ICBDACI.2017.8070814
Azhagusundari, B, and Antony Selvadoss Thanamani. 2013. “Feature Selection Based on Information Gain,” no. 2: 18–21.
Basari, A. S. H., Hussin, B., Ananta, I. G. P., & Zeniarja, J. (2013). Opinion Mining of Movie Review using Hybrid Method of Support Vector Machine and Particle Swarm Optimization. Procedia Engineering, 53, 453–462.
https://doi.org/10.1016/j.proeng.2013.02.059
Chandani, V., Komputer, F. I., & Nuswantoro, U. D. (2015). Komparasi Algoritma Klasifikasi Machine Learning Dan Feature Selection pada Analisis Sentimen Review Film, 1(1), 56–60.
Chou, J., Cheng, M., Wu, Y., & Pham, A. (2014). Expert Systems with
Applications Optimizing parameters of Support Vector Machine using fast messy genetic algorithm for dispute classification. Expert Systems With Applications, 41(8), 3955–3964. https://doi.org/10.1016/j.eswa.2013.12.035 Dawson, Christian W. (2009). Projects in Computing and Information Systems
A Student’s Guide. Pearson Edication Limited.
Dehaff, M. (2010). Sentiment Analysis, Hard But Worth It!. [Online]. Tersedia di:
http://www.customerthink.com/blog/sentiment_analysis_hard_but_worth_it.
Dehkharghani, R., Mercan, H., Javeed, A., & Saygin, Y. (2014). Expert Systems with Applications Sentimental causal rule discovery from Twitter. EXPERT Systems With Applications, 41(10), 4950–4958.
https://doi.org/10.1016/j.eswa.2014.02.024
Deng, Houtao, and George Runger. 2012. “Feature Selection via Regularized Trees,” January. http://arxiv.org/abs/1201.1587v3.
Dhande, L. L., & Patnaik, P. G. K. (2014). Analyzing Sentiment of Movie Review Data using Naive BayesNeural Classifier, 3(4), 313–320.
Feldman, Ronen and Sanger, James. (2007). The Text mining Handbook Advanced Approaches in Analyzing Unstructured Data. Cambridge University Press, New York.
Gallager, Robert G, and Life Fellow. 2001. “Claude E . Shannon : A Retrospective on His Life , Work , and Impact” 47 (7): 2681–95.
53
Ghiassi, M., Skinner, J., dan Zimbra, D. (2013). Twitter brand sentiment analysis:
A hybrid system using n-gram analysis and dynamic artificial neural network. Expert Systems with Applications, 40, 6266-6282.
https://doi.org/10.1016/j.eswa.2013.05.057
Gorunescu, Florin (2011). Data Mining: Concepts, Models, and Techniques. Verlag Berlin Heidelberg: Springer.
Haddi, E., Liu, X., & Shi, Y. (2013). The Role of Text Pre-processing in Sentiment Analysis. Procedia Computer Science, 17, 26–32.
https://doi.org/10.1016/j.procs.2013.05.005
He, Y., & Zhou, D. (2011). Self-training from labeled features for sentiment analysis. Information Processing and Management, 47(4), 606–616.
https://doi.org/10.1016/j.ipm.2010.11.003
Huang, K., Yang, H., King, I., & Lyu, M. (2008). Machine Learning Modeling Data Locally And Globally. Berlin Heidelberg: Zhejiang University Press, Hangzhou And Springer-Verlag Gmbh.
Liu, B. (2012). Sentiment Analysis and Opinion Mining. Synthesis Lectures on Human Language Technologies, 5(May), 1–167.
Kontopoulos, E., Berberidis, C., Dergiades, T., & Bassiliades, N. (2013). Expert Systems with Applications Ontology-based sentiment analysis of twitter posts. Expert Systems With Applications, 40(10), 4065–4074.
https://doi.org/10.1016/j.eswa.2013.01.001
Maimon, Oded & Rokach, Lior. (2010). Data Mining and Knowledge Discovey Handbook. New York: Springer.
Markov, Z., & Daniel, T. (2007). Uncovering Patterns in.
Moraes, R., Valiati, J. F., & Neto, W. P. G. (2013). Expert Systems with Applications Document-level sentiment classification : An empirical comparison between SVM and ANN. Expert Systems With Applications, 40(2), 621–633. https://doi.org/10.1016/j.eswa.2012.07.059
Novakovic, Jasmina. 2010. “The Impact of Feature Selection on the Accuracy of Naïve Bayes Classifier” 2: 1113–16.
Pang, B., & Lee, L. (2002). A Sentimental Education : Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. Association for Computational Linguistics.
Pang, B., Lee, L., Rd, H., & Jose, S. (2002). Thumbs up ? Sentiment Classification using Machine Learning Techniques.
Association for Computational Linguistics, 10(July), 79–86.
Pinheiro, R. H. W., Cavalcanti, G. D. C., Correa, R. F., & Ing, T. (2012). Expert Systems with Applications A global-ranking local feature selection method
for text categorization. Expert Systems With Applications, 39(17), 12851–
12857. https://doi.org/10.1016/j.eswa.2012.05.008
Salappa, A., Doumpos, M., & Zopounidis, C. (2007). Feature Selection Algorithms in Classification Problems: An Experimental Evaluation. Systems Analysis, Optimization and Data Mining in Biomedicine , 199-212.
Serrano-guerrero, J., Olivas, J. A., Romero, F. P., & Herrera-viedma, E. (2015).
Sentiment analysis : A review and comparative analysis of web services.
Information Sciences, 311, 18–38. https://doi.org/10.1016/j.ins.2015.03.040 Vercellis, Carlo (2009). Business Intelligent: Data Mining and Optimization for
Decision Making. Southern Gate, Chichester, West Sussex: John Willey &
Sons, Ltd.
Weiss, S. M., Indurkhya, Nitin & Zhang, Tong. (2010). Fundamentals of Predictive Text mining. London: SpringerVerlag
Witten, Ian H, Eibe Frank, and Mark A. Hall. 2011. Data Mining: Practical Machine Learning Tools and Techniques 3rd Edition. Elsevier.
Ye, Q., Zhang, Z., & Law, R. (2009). Expert Systems with Applications Sentiment classification of online reviews to travel destinations by
supervised machine learning approaches. Expert Systems With Applications, 36(3), 6527–6535. https://doi.org/10.1016/j.eswa.2008.07.035
Zhang, Z., Ye, Q., Zhang, Z., & Li, Y. (2011). Expert Systems with Applications Sentiment classification of Internet restaurant reviews written in Cantonese.
Expert Systems With Applications, 38(6), 7674–7682.
https://doi.org/10.1016/j.eswa.2010.12.147
Zhao, M., Fu, C., Ji, L., Tang, K., & Zhou, M. (2011). Expert Systems with Applications Feature selection and parameter optimization for Support Vector Machines : A new approach based on genetic algorithm with feature chromosomes. Expert Systems With Applications, 38(5), 5197–5204.
https://doi.org/10.1016/j.eswa.2010.10.041
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Lembar Konsultasi Bimbingan Tesis
Pascasarjana Magister Ilmu Komputer STMIK Nusa Mandiri
Nim : 14001910
Nama Lengkap : Reza Maulana
Pembimbing : Dr. Agus Subekti, MT
Judul Tesis : “Peningkatan Akurasi Analisis Sentimen Review Film Menggunakan Support Vector Machine Berbasis Information Gain”
No Tanggal
Bimbingan Materi Bimbingan Paraf Dosen
Pembimbing 1. 12 Oktober 2017 Pengajuan Judul
2. 30 Oktober 2017 ACC Judul dan Pengajuan Bab I 3. 9 November 2017 Pengajuan Bab II
4. 28 November 2017 Pengajuan Bab III 5. 12 Desember 2017 Pengajuan Bab IV 6. 23 Desember 2017 Revisi Bab IV 7. 5 Januari 2018 Pengajuan Bab V 8. 11 Januari 2018 ACC Keseluruhan
Bimbingan dimulai pada tanggal : 12 Oktober 2017 Bimbingan diakhiri pada tanggal : 11 Januari 2018
Jumlah Pertemuan : 8 Pertemuan
Jakarta, 11 Januari 2018 Dosen Pembimbing
Dr. Agus Subekti, MT
Foto 2x3
DAFTAR RIWAYAT HIDUP
A. Biodata Mahasiswa
NIM : 11132007
Nama Lengkap : Reza Maulana
Tempat & Tanggal Lahir : Pontianak, 2 Oktober 1991
Alamat Lengkap : Jl. Karet Komp. Patra Permai No. B11 Rt 003 / Rw 023 Pontianak
B. Riwayat Pendidikan
1. SD Negeri 5 Pontianak, lulus tahun 2003 2. SMP Negeri 16 Pontianak, lulus tahun 2006 3. SMA Negeri 8 Pontianak, lulus tahun 2009
4. D3 Manajemen Informatika AMIK BSI Pontianak, lulus tahun 2012 5. S1 Sistem Informasi STMIK Nusa Mandiri Jakarta, lulus tahun 2014 C. Riwayat Pekerjaan
1. Asisten Instruktur AMIK BSI Pontianak, tahun 2010 s/d 2012 2. Instruktur Kontrak AMIK BSI Pontianak, tahun 2012 s/d 2014 3. Instruktur Tetap AMIK BSI Pontianak, tahun 2014 s/d sekarang
Jakarta, 11 Januari 2018
Reza Maulana Foto
3x4
57
LAMPIRAN
Lampiran 1. Tabel dataset Cornell review positif
No. Dokumen Review
1. c_positif1
films adapted from comic books have had plenty of success , whether they're about superheroes ( batman , superman , spawn ) , or geared toward kids ( casper ) or the arthouse crowd ( ghost world ) , but there's never really been a comic book like from hell before .
2. c_positif2
every now and then a movie comes along from a suspect studio , with every indication that it will be a stinker , and to everybody's surprise ( perhaps even the studio ) the film becomes a critical darling .
3. c_positif3
in order to make the film a success , all they had to do was cast two extremely popular and attractive stars , have them share the screen for about two hours and then collect the profits .
4. c_positif4
" jaws " is a rare film that grabs your attention before it shows you a single image on screen .
5. c_positif5
watching jackie in operation condor as he drives his motorcycle through the crowded streets of madrid , fleeing an armada of pursuers in identical black compact cars , is reminiscent of sanders running for daylight with the chicago bears in hot pursuit , except that sanders doesn't have to worry about rescuing runaway baby carriages .
6. c_positif6
the actor gives a convincing , charismatic performance as the multifaceted , politically deft patrice lumumba who has the good of his people and his country as the force driving his own ambitions .
7. c_positif7
it's hard to imagine any director not being at least partially pleased with a film this good -- in a time when so many movies are timid and weak , american history x manages to make a compelling argument for racism without advocating it any way .
8. c_positif8
the film adopts alda's psychological point of view as he tries to one : plan the wedding , and two : pay for it . as a filmmaker , alda's style of humor is remarkably
restrained and tasteful . and while he doesn't have the comic genius of a woody allen , alda does possess the inspiration to make movies which are ten times more entertaining than the slop which usually passes for comedy .
9. c_positif9
after bloody clashes and independence won , lumumba refused to pander to the belgians , who continued a condescending and paternalistic relationship with the congo . their officers , particularly general janssens ( rudi delhem ) in the force publique , the congo's army , caused rebellions , undermining lumumba , who was outraged at the rape and murder of belgian nationals . with unrest building , moise tshombe ( pascal nzonzi ) and the province of katanga , which contained 70 percent of the country's resources , proclaimed secession .
10. c_positif10
the american action film has been slowly drowning to death in a sea of asian wire-fu copycats . it's not a pretty death , and it's leaving the likes of schwartznager , stallone , and van damme wearing cement galoshes at the bottom of a kung fu sea . sometimes , the mix results in a mind-blowing spectacle unlike any other . quality action with amazing and exciting stunt work , as in 1999's the matrix , can be a real gem .
11. c_positif11
the movie begins with zippy retro-style opening credits that look like they were torn straight out of a '60s slapstick comedy , featuring animated photos of the cast attached to herky-jerky bodies bounding around the screen .
12. c_positif12
filmmakers should know your final impression will be the one you linger on , remember , and convey to others thru word of mouth , so after telling us for 60+ minutes that this film is a glorious masterpiece , they sure leave us with a disheartening taste of mediocrity in our mouths .
13. c_positif13
a small but enchanting movie , " hearts in atlantis "
easily recalls another king-inspired coming-of-age film , " stand by me " , both in terms of its setting and the sentiment it conveys . " hearts " is a tribute to the magic of childhood , to those summers when the days seem neverending , and nothing means more than your closest friends . unlike " stand by me " , there is a supernatural
59 about real life . in fiction , one invents purposeful , clear-cut good guys and bad guys , puts the fictional characters in conflict , and takes the tale to its exciting conclusion . real life , however , consists of long stretches of boredom with a few dramatic moments and characters who stand around , think thoughts and do nothing , or come and go before events are resolved . spielberg gives us a visually spicy and historically accurate real life story .
15. c_positif15
in this film , police negotiator danny roman ( samuel l . jackson ) is tipped off by his partner to corruption within the chicago police force . when his partner turns up shot to death and internal affairs finds incriminating evidence in roman's home , roman becomes the prime suspect of both embezzling from the police disability fund and murder . faced with the scorn of most of the police department , and under close scrutiny by the media , roman is forced to turn in his badge in one of those typical scenes in the captain's office .
16. c_positif16
i'm a sucker for movies like this . a young man with a humble background and lofty dreams , works hard , devotes the time , the energy and the patience , and ultimately hits it big-time . in the case of this film , our boy loves a certain heavy metal band and as luck would have it ( yup , luck always finds its way into these types of equations , although generally tied very closely to hard work ) , they need a new singer . his entry and adaptation to the whole " rock 'n roll " lifestyle fills the rest of the film and is really fun to watch .
17. c_positif17
carry on matron is the last great carry-on film in my opinion . made in 1972 , it still features most of the regulars of this genre . sid james plays the head of a gang of crooks intent on stealing contraceptive pills from the local maternity hospital and selling them off to make a profit , kenneth williams is sir bernard cutting , head of the hospital but also a hypochondriac , hattie jacques re-takes her role as matron , and charles hawtrey is the psychiatrist dr . goode . the jokes come in fast and so do
the laughs , with humorous antics between the matron and sir bernard .
18. c_positif18
the ultimate match up between good and evil , " the untouchables " is an excellent movie because it looks deeper into an already examined rivalry . based on the 1959 television show of the same title , " the untouchables " may be an exaggeration of the real life events that took place , but it fits together perfectly with some beautifully filmed action sequences , some excellent acting , a memorable score , and a clever script . the film takes place in chicago during the prohibition era where mobsters led by the ruthless al capone run an underground market of liquor to the demanding public .
19. c_positif19
having not seen , " who framed roger rabbit " in over 10 years , and not remembering much besides that i liked it then , i decided to rent it recently . watching it i was struck by just how brilliant a film it is . aside from the fact that it's a milestone in animation in movies ( it's the first film to combine real actors and cartoon characters , have them interact , and make it convincingly real ) and a great entertainment it's also quite an effective what other actor can lay claim to that ? he's in " there's something about mary , " which i * still * haven't seen . and he's in the acerbic " your friends & neighbors , "
playing a talkative , sexually-frustrated drama coach called jerri . now there's " permanent midnight , " in which stiller plays another jerry , this one a heroin-addicted television writer , last name stahl.
… … …
1000 c_positif 1000
the story , written by andrew niccol ( writer/director of gattaca ) , introduces some interesting questions , such as the ethics of subjecting a person to this type of life , or the psychological impact of learning that your entire life has all been fake . although these questions came to mind , i don't think the film itself asked them . it certainly didn't address them or try to answer them . i was particularly disappointed that the film didn't deal more with the trauma of learning one's life is a tv show.
61
Lampiran 2. Tabel dataset Cornell review negatif
No. Dokumen Review
1. c_negatif1
a mind-fuck movie for the teen generation that touches on a very cool idea , but presents it in a very bad package . which is what makes this review an even harder one to write , since i generally applaud films which attempt to break the mold , mess with your head and such ( lost highway & memento ) , but there are good and bad ways of making all types of films , and these folks just didn't snag this one correctly . they seem to have taken this pretty neat concept , but executed it terribly .
2. c_negatif2
the happy bastard's quick movie review damn that y2k bug . it's got a head start in this movie starring jamie lee curtis and another baldwin brother ( william this time ) in a story regarding a crew of a tugboat that comes across a deserted russian tech ship that has a strangeness to it when they kick the power back on . little do they know the power within . .
3. c_negatif3
it is clear that the film is nothing more than an attempt to cash in on the teenage spending dollar , judging from the rash of really awful teen-flicks that we've been seeing as of late . avoid this film at all costs .
4. c_negatif4
a few scenes are nicely realized ( though i'm at a loss to recall enough to be specific ) , and the actors providing the voice talent are enthusiastic ( though most are paired up with singers who don't sound a thing like them for their big musical moments -- jane seymour and celine dion ? ? ? ) . but one must strain through too much of this mess to find the good . aside from the fact that children will probably be as bored watching this as adults , " quest for camelot " 's most grievous error is its complete lack of personality . and personality , we learn from this mess , goes a very long way.
5. c_negatif5
stalked is yet another in a seemingly endless string of spurned-psychos-getting-their-revenge type movies which are a stable category in the 1990s film industry , both theatrical and direct-to-video . their proliferation may be due in part to the fact that they're typically inexpensive to produce ( no special effects , no big name stars ) and serve as vehicles to flash nudity ( allowing them to frequent late-night cable television ) .
6. c_negatif6
this film is just chock full of pieces taken from assault on precinct 13 , the thing , and prince of darkness . it is , in fact , surprising that carpenter managed to fit so many pieces of his previous work into this film in such an admittedly novel way . but that still does not make for a really good science fiction experience .
7. c_negatif7
there are hints that this is taking its toll on his lovely wife , played by catherine keener , who is frustrated by her husband spending all of his time in cleveland rather than in their ugly split-level home in harrisburg , pa . "
8mm " doesn't condemn or condone its subject matter , it just exploits it . the irony , of course , is that schumacher and " seven " scribe andrew kevin walker's vision of life in the snuff lane is limited by what they can show in an r-rated , first-run hollywood product .
8. c_negatif8
nine months is a complete failure , low on laughs and intelligence and high on loud , unfunny slapstick , failed jokes and other uninspired lunacy . hugh grant's sunset boulevard arrest ( please , no caught-with-his-pants-down jokes ) may bring more people into the theaters , but they certainly won't leave with a smile on their faces , not after 90 minutes of grant's nervous smiles . everything in the movie is so forced , so unauthentic that anyone with an i . q . over 80 ( sorry , hugh ) will know they wasted their money on an unfulfilled desire . but at least they didn't spend 60 bucks for it .
9. c_negatif9
aberdeen is never half so ambitious , content to sleepwalk through the rhythms and timing of other movies . when did character driven stories stop paying attention to the complexities of real life ? the depressing answer can be found in lawrence kasdan's trite but occasionally useful grand canyon , where steve martin's hollywood mogul pronounces , " all of life's riddles are answered in the movies ! " even foreign films are taking that advice to heart .
10. c_negatif10
keep in mind that i have never strayed away from championing certain movies that are created simply for the sake of a " fun time " , but this flick just didn't cut it for me . it was boring for stretches , the acting was atrocious at times ( the " romantic " scene between suvari and chambers next to the lake reminded me of plays in high school which made you cringe ) , there was
63
little reason to care for anyone and since when were the musketeers fat ?
11. c_negatif11
there is unnecessary padding with howie's miserable dad ( bruce altman ) in the hot seat for a white-collar crime , degenerate youngsters who get their kicks from robbing
there is unnecessary padding with howie's miserable dad ( bruce altman ) in the hot seat for a white-collar crime , degenerate youngsters who get their kicks from robbing