Context Enrichment Model Based Framework for Sentiment Analysis

2019 ◽  
pp. 325-335
Author(s):  
Nor Nadiah Yusof ◽  
Azlinah Mohamed ◽  
Shuzlina Abdul-Rahman
Keyword(s):  
Sentiment Analysis ◽  
Model Based

scholarly journals Sentiment Analysis on Twitter Airline Data

2021 ◽  
Vol 9 (VI) ◽  
pp. 3767-3770
Author(s):  
Kirti Jain
Keyword(s):  
Machine Learning ◽  
Natural Language Processing ◽  
Natural Language ◽  
Sentiment Analysis ◽  
Language Processing ◽  
Learning Task ◽  
Model Based ◽  
Sentiment Mining ◽  
General Opinion

Sentiment analysis, also known as sentiment mining, is a submachine learning task where we want to determine the overall sentiment of a particular document. With machine learning and natural language processing (NLP), we can extract the information of a text and try to classify it as positive, neutral, or negative according to its polarity. In this project, We are trying to classify Twitter tweets into positive, negative, and neutral sentiments by building a model based on probabilities. Twitter is a blogging website where people can quickly and spontaneously share their feelings by sending tweets limited to 140 characters. Because of its use of Twitter, it is a perfect source of data to get the latest general opinion on anything.

Sentiment Analysis Model Based on the Word Structural Representation

2021 ◽  
pp. 170-178
Author(s):  
Gulmira Bekmanova ◽  
Banu Yergesh ◽  
Altynbek Sharipbay
Keyword(s):  
Sentiment Analysis ◽  
Analysis Model ◽  
Structural Representation ◽  
Model Based

scholarly journals Improving attention model based on cognition grounded data for sentiment analysis

2019 ◽  
pp. 1-1 ◽  
Author(s):  
Yunfei Long ◽  
Rong Xiang ◽  
Qin Lu ◽  
Chu-Ren Huang ◽  
Minglei Li
Keyword(s):  
Sentiment Analysis ◽  
Attention Model ◽  
Model Based
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