Sentiment classification with concept drift and imbalanced class distributions
Document-level sentiment classification aims to automate the task of classifying a textual review, which is given on a single topic, as expressing a positive or negative sentiment. In general, people express their opinions towards an entity based on their characteristics which may change over time....
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UTM Press
2016
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/74516/1/AbbasJalilvand2016_SentimentClassificationWithConceptDrift.pdf http://eprints.utm.my/id/eprint/74516/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85005980458&doi=10.11113%2fjt.v78.10120&partnerID=40&md5=2e255dd836ba8cf4dd4ee3eecdee56ef |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Malaysia |
Language: | English |