About this document
Feature Identification in Sentiment Analysis by Incia is a document available to read on EtoBox.
This document summarizes literature on feature identification in sentiment analysis. It discusses how sentiment analysis can be done at the document, sentence, or feature level. Feature-level sentiment analysis aims to classify user reviews for different product features as positive or negative. This requires first extracting relevant features from reviews, both explicit features mentioned directly and implicit features only implied. It then discusses categorizing extracted features that may be referred to
- Author
- Incia
- Language
- EN