opinion_observer - negatively ● Positive(negative opinion...

Info icon This preview shows pages 1–12. Sign up to view the full content.

View Full Document Right Arrow Icon
Opinion Observer: Analyzing and Comparing Opinions on the Web Bing Liu, Minging Hu, Junsheng Cheng Presentation by Mark Strohmaier
Image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
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
Image of page 2
Problem Overview
Image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
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)
Image of page 4
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
Image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Image of page 6
Image of page 7

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Image of page 8
Image of page 9

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Image of page 10
Image of page 11

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Image of page 12
This is the end of the preview. Sign up to access the rest of the document.

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...
View Full Document

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern