Depression Intensity Estimation via Social Media: A Deep Learning Approach

2021 ◽  
pp. 1-10
Author(s):  
Shreya Ghosh ◽  
Tarique Anwar
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Learning Approach ◽  
Intensity Estimation

Content Complexity, Similarity, and Consistency in Social Media: A Deep Learning Approach

2016 ◽  
Author(s):  
Donghyuk Shin ◽  
Shu He ◽  
Gene Moo Lee ◽  
Andrew B. Whinston ◽  
Suleyman Cetintas ◽  
...  
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Learning Approach

Enriching Social Media Personas with Personality Traits: A Deep Learning Approach Using the Big Five Classes

2020 ◽  
pp. 101-120
Author(s):  
Joni Salminen ◽  
Rohan Gurunandan Rao ◽  
Soon-gyo Jung ◽  
Shammur A. Chowdhury ◽  
Bernard J. Jansen
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Personality Traits ◽  
Big Five ◽  
Learning Approach

scholarly journals Twitter Sentiment Analysis Model

2021 ◽  
Vol 9 (VII) ◽  
pp. 296-302
Author(s):  
Pushkar Dubey
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Media ◽  
Deep Learning ◽  
Sentiment Analysis ◽  
Language Processing ◽  
Learning Approach ◽  
Analysis Model ◽  
Market Place ◽  
The Social

Social networks are the main resources to gather information about people’s opinion towards different topics as they spend hours daily on social media and share their opinion. Twitter is one of the social media that is gaining popularity. Twitter offers organizations a fast and effective way to analyze customers’ perspectives toward the critical to success in the market place. Developing a program for sentiment analysis is an approach to be used to computationally measure customers’ perceptions. .We use natural language processing and machine learning concepts to create a model for analysis . In this paper we are discussing how we can create a model for analysis of twittes which is trained by various nlp , machine learning and Deep learning Approach.

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