proposal daniel michlits h1250804 research seminar system analyses
DESCRIPTION
base article title: „Movie Review Mining and Summarization“ authors: Li Zhuang, Feng Jing and Xiao- Yan Zhu published by: CIKM’06 November 5-11,2006, Arlington,VirginiaTRANSCRIPT
Proposal
Daniel Michlits h1250804
Research Seminar System Analyses
Agenda
Related works
Problem statement
Movie Review Mining and Summarization
Experiments
Summary of the base article
Research questions
base article
title: „Movie Review Mining and Summarization“ authors: Li Zhuang, Feng Jing and Xiao- Yan Zhu
published by: CIKM’06 November 5-11,2006, Arlington,Virginia
Summary
Related works:
Most of the existing work is focused on produkt reviews
Subjective classificationdistinguishes between sentences that contain objective information and sentences that describe opinions
Sentiment classificationDefines the semantic orientation of words
Summary
Problem statement
Definine classes for features
Divide the classes into two groups
Elements: OA (overall), ST (screenplay), CH (character design), VP (vision effects), MS (music and sound),…
People: PPR (producer), PDF (director), PSC (screenwriter), PAC (actor and actress),…
Summary
Movie Review Mining and Summarization
Generating a Keyword listincluding the most important feature & opinion wordsrelating the keywords to the element classes
nouns, such as movie names or people names, can also be feature words
Mining explicit feature-opinion pairs
Using the keyword list and dependency relation templates
Mining implicit feature-opinion pairs
Only in short sentences at the beginning or end of the review
Summary
Movie Review Mining and Summarization
Generating the final summary
Collecting sentences that express opinions on a specific feature class
Identifying semantic orientation of the relevant opinion in each sentence is identified
Creating an organized sentence list
Summary
Experiments
Precision=Recall=F-Score=
Comparison: Lu and Hius approch
Research Questions
1. How much are movie reviews influencing the decision of consumers? Do they also influence the perception during a movie?2. Which keywords have the biggest impact on the consumer?3. Which are the most important elements of movie reviews regarding the consumer purchase decision process?
Summary
Movie Review Mining and Summarization
Generating the final summary
Collecting sentences that express opinions on a specific feature class
Identifying semantic orientation of the relevant opinion in each sentence is identified
Creating an organized sentence list