Sentiment analysis based on combination of term weighting schemes and word vectors
Term weighting schemes are widely used in text mining tasks and supervised term weighting schemes have better performances on sentiment analysis task because the available labels of training documents make the learned model more discriminative. In this thesis, based on bag of words model, we introdu...
Saved in:
Main Author: | Jin, Linbo |
---|---|
Other Authors: | Mao Kezhi |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/68724 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Sentiment analysis of context word embeddings
by: Khan, Mohammad Sadique
Published: (2021) -
Sentiment analysis based on deep learning
by: Jiang, Qi
Published: (2021) -
Sentiment analysis based on deep learning
by: Chan, Benjamin Wei Xun
Published: (2022) -
Machine learning technicques for aspect based sentiment analysis
by: Chen, Haonan
Published: (2017) -
Sentiment analysis based on deep neural networks
by: Zhang, Jingsheng
Published: (2021)