A Surrogate-based Generic Classifier for Chinese Movie Reviews
نویسندگان
چکیده
With the emerging of various online video platforms like Youtube, Youku and LeTV, online movie reviews become more and more important both for movie viewers and producers. As a result, automatically classifying reviews according to different requirements evolves as a popular research topic and is very essential in our daily life. In this paper, we focused on reviews of hot TV series in China and successfully trained generic classifiers based on 8 predefined categories. The experimental results showed promising performance and effectiveness of its generalization to different TV series.
منابع مشابه
Sentiment Classification for Movie Reviews in Chinese Using Parsing-based Methods
Sentiment classification is able to help people automatically analyze customers’ opinions from the large corpus. In this paper, we collect some Chinese movie reviews from Bulletin Board System and aim at making sentiment classification so as to extract several frequent opinion words in some movie elements such as plots, actors/actresses, special effects, and so on. Moreover, we result in a gene...
متن کاملPure and Embedded Film Genres on the Movie Comprehension of Iranian EFL Learners
The present study investigated the effect of single and multiple genre movies on listening comprehension of upper intermediate language learners. To this end, a language proficiency test was administered to 40 male and female postgraduates of different majors attending International English Language Testing System (IELTS) classes and ultimately 25 upper intermediate language learners were selec...
متن کاملAn Unsupervised Sentiment Classifier on Summarized or Full Reviews
These days web users searching for opinions expressed by others on a particular product or service PS can turn to review repositories, such as Epinions.com or Imdb.com. While these repositories often provide a high quantity of reviews on PS, browsing through archived reviews to locate different opinions expressed on PS is a time-consuming and tedious task, and in most cases, a very labor-intens...
متن کاملSentiment Analysis using Aspect Level Classification
The natural language text is analyzed by using sentiment analysis and classified into positive, negative or neutral based on the human emotions, sentiments, opinions expressed in the text. The user reviews and comments on movies on the web are increasing day by day. And to make a decision in movie planning, these reviews are useful for other users. To perform manual analysis of a huge number of...
متن کاملImprovement of a Naive Bayes Sentiment Classifier Using MRS-Based Features
This study explores the potential of using deep semantic features to improve binary sentiment classification of paragraphlength movie reviews from the IMBD website. Using a Naive Bayes classifier as a baseline, we show that features extracted from Minimal Recursion Semantics representations in conjunction with back-off replacement of sentiment terms is effective in obtaining moderate increases ...
متن کامل