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2012-02-05 Added web version of paper
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10 <TITLE>Sentiment Classification using Machine Learning Techniques</TITLE>
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47 <H1 ALIGN=CENTER>Sentiment Classification using Machine Learning Techniques</H1>
48 <P ALIGN=CENTER><STRONG>Pranjal Vachaspati</STRONG>
49 <BR><I><TT><SMALL CLASS="SMALL">pranjal@mit.edu</SMALL></TT></I>
50 </P><P ALIGN=CENTER><STRONG>Cathy Wu</STRONG>
51 <BR><I><TT><SMALL CLASS="SMALL">cathywu@mit.edu</SMALL></TT> </I>
52 </P>
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57 <H3>Abstract:</H3>
58 <DIV CLASS="ABSTRACT">
59 We implement a series of classifiers (Naive Bayes, Maximum Entropy, and SVM) to distinguish positive and negative sentiment in critic and user reviews. We apply various processing methods, including negation tagging, part-of-speech tagging, and position tagging to achieve maximum accuracy. We test our classifiers on an external dataset to see how well they generalize. Finally, we use a majority-voting technique to combine classifiers and achieve accuracy of close to 90% in 3-fold cross-validation, far outperforming Pang's 2002 work [<A
60 HREF="node20.html#Pang">7</A>].
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70 <LI><A NAME="tex2html8"
71 HREF="node1.html">Introduction</A>
72 <LI><A NAME="tex2html9"
73 HREF="node2.html">Previous Work</A>
74 <LI><A NAME="tex2html10"
75 HREF="node3.html">The User Review Domain</A>
76 <LI><A NAME="tex2html11"
77 HREF="node4.html">Machine Learning Methods</A>
78 <UL>
79 <LI><A NAME="tex2html12"
80 HREF="node5.html">The Naive Bayes Classifier</A>
81 <LI><A NAME="tex2html13"
82 HREF="node6.html">The Maximum Entropy Classifier</A>
83 <LI><A NAME="tex2html14"
84 HREF="node7.html">The Support Vector Machine Classifier</A>
85 </UL>
86 <BR>
87 <LI><A NAME="tex2html15"
88 HREF="node8.html">Experimental Setup</A>
89 <LI><A NAME="tex2html16"
90 HREF="node9.html">Results</A>
91 <UL>
92 <LI><A NAME="tex2html17"
93 HREF="node10.html">Feature Counting Method</A>
94 <LI><A NAME="tex2html18"
95 HREF="node11.html">Conditional Independence Assumption</A>
96 <LI><A NAME="tex2html19"
97 HREF="node12.html">Number of Features</A>
98 <LI><A NAME="tex2html20"
99 HREF="node13.html">Negation Tagging</A>
100 <LI><A NAME="tex2html21"
101 HREF="node14.html">Position Tagging</A>
102 <LI><A NAME="tex2html22"
103 HREF="node15.html">Part of Speech Tagging</A>
104 <LI><A NAME="tex2html23"
105 HREF="node16.html">Adjectives</A>
106 <LI><A NAME="tex2html24"
107 HREF="node17.html">Verbs</A>
108 <LI><A NAME="tex2html25"
109 HREF="node18.html">Majority Voting</A>
110 <LI><A NAME="tex2html26"
111 HREF="node19.html">Neighboring Domain Data</A>
112 </UL>
113 <BR>
114 <LI><A NAME="tex2html27"
115 HREF="node20.html">Bibliography</A>
116 <LI><A NAME="tex2html28"
117 HREF="node21.html">About this document ...</A>
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121 <ADDRESS>
122 Pranjal Vachaspati
123 2012-02-05
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