opinion_observer - negatively ● Positive (negative)...

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Opinion Observer: Analyzing and Comparing Opinions on the Web Bing Liu, Minging Hu, Junsheng Cheng Presentation by Mark Strohmaier
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Problem Overview The Internet allows people to see product reviews from a large number of people Often easier for customers to compare based on features rather than reading many reviews Easier for companies to improve products if they know what aspects people liked and did not like
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Problem Overview
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Challenges Locate features which users rated Identify whether the rating was positive or negative Further complicated by three review formats Pros and Cons (Cnet) Pros, cons and review (Epinions) Free-form (Amazon)
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Problem Description Each product P i has a collection of reviews R i Each review contains Product Features – attribute of the product review mentions Opinion set – whether review treats the feature positively or
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Unformatted text preview: negatively ● Positive (negative) opinion set – set of all positive (negative) reviews of a product feature Problem Description Columns show: 1) Actual number of scores 2) Percentage of Scores Key assumption Extracting Features ● Determine part of speech (using linguistic parser) ● Replace words with [feature] ● Use 3-grams to make shorter segments ● Distinguish duplicate tags, reduce words to stems ● Generate rules using CBA association mining system Processing Rules ● Only keep rules which end in [feature] ● Remove rules not sufficiently predictive ● Generate language patterns System Architecture Preliminary Results Conclusions ● Unique visual approach ● Supervised pattern discovery method...
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This note was uploaded on 08/06/2008 for the course CSE 450 taught by Professor Davison during the Spring '08 term at Lehigh University .

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opinion_observer - negatively ● Positive (negative)...

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