INDONESIAN SENTIMENT ANALYSIS USING DEEP NEURAL NETWORK AND DOCUMENT REPRESENTATION VECTOR
Sentiment analysis as one of the fields in natural language processing can be done in several extraction levels i.e. document level, sentence level, and aspect level. This research focuses on document level. Document level sentiment analysis is carried out to extract sentiments or opinions regarding...
Saved in:
Main Author: | Ayu Putu Ari Crisdayanti, Ida |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/39113 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Sentiment analysis based on deep neural networks
by: Zhang, Jingsheng
Published: (2021) -
Review sentiment analysis based on deep neural network
by: Song, Wanzhen
Published: (2020) -
DEVELOPMENT OF SPEAKER RECOGNITION SYSTEM IN INDONESIAN WITH DEEP NEURAL NETWORK AND VECTOR EMBEDDING
by: Angelia, Tifany -
Reddit’s subreddit recommendation engine based on deep neural network & sentiment analysis
by: Song, Qiu Xuan
Published: (2020) -
Representation learning using deep random vector functional link networks for clustering
by: Hu, Minghui, et al.
Published: (2022)