SENTIMENT CLASSIFICATION OF CORPORATIONS IN NEWS ARTICLES USING WORD EMBEDDING
Sentiment of company influences an individual or society view of the company. This view affects individual's actions in stock trading transactions. These corporate sentiments can be contained in news articles in several factors related to the company. These factors are internal factors and exte...
Saved in:
Main Author: | AODYRA KHAIDIR - NIM : 13513063 , MUHAMMAD |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/23197 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Automatic sentiment classification of political news articles.
by: Nourbakhsh, Armineh.
Published: (2009) -
SENTIMENT-SPECIFIC WORD EMBEDDING EFFECT ON INDONESIAN SENTIMENT ANALYSIS
by: NAUFAL FARHAN (NIM : 13513049), AHMAD -
Sentiment analysis of context word embeddings
by: Khan, Mohammad Sadique
Published: (2021) -
Organizing news articles and editorials through information extraction and sentiment analysis
by: Cheng, Charibeth, et al.
Published: (2016) -
Mining future spatiotemporal events and their sentiment from online news articles for location-aware recommendation system
by: Ho, Shen-Shyang., et al.
Published: (2013)