Challenges in Creating a Multilingual Sentiment Analysis Application for Social Media Mining

2014 ◽  
Author(s):  
Alexandra Balahur ◽  
Hristo Tanev ◽  
Erik van der Goot
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Social Media Mining ◽  
Analysis Application ◽  
Media Mining

scholarly journals Social Network Mental Disorders Detection via Online Social Media Mining

2021 ◽  
Vol 7 (01) ◽  
pp. 27-30
Author(s):  
Prof. Narinder Kaur and Lakshay Monga
Keyword(s):  
Social Media ◽  
Social Network ◽  
Mental Disorders ◽  
Mental Disorder ◽  
Sentiment Analysis ◽  
Prototype System ◽  
Social Media Mining ◽  
Online Social Media ◽  
Analyse Data ◽  
Media Mining

Social Network Mental Disorder Detection” or “SNMD” is an approach to analyse data and retrieve sentiment that it embodies. Twitter SNMD analysis is an application of sentiment analysis on data from Twitter (tweets), in order to extract sentiments conveyed by the user. In this paper, we aim to review some papers regarding research in sentiment analysis on Twitter, describing the methodologies adopted and models applied, along with describing a generalized Python based approach. A prototype system is developed and tested.

scholarly journals A Social Media Mining Using Topic Modeling and Sentiment Analysis on Tourism in Malaysia During Covid19

2021 ◽  
Vol 704 (1) ◽  
pp. 012020
Author(s):  
N A Deraman ◽  
A G Buja ◽  
K A F A Samah ◽  
M N H H Jono ◽  
M A M Isa ◽  
...  
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Topic Modeling ◽  
Social Media Mining ◽  
Media Mining

Mining on Social Media

2017 ◽  
pp. 206-222 ◽  
Author(s):  
Ambati Venkata Krishna Prasad ◽  
Venkata Naresh Mandhala
Keyword(s):  
Social Media ◽  
Social Network ◽  
Sentiment Analysis ◽  
Learning Method ◽  
Bayes Classifier ◽  
Social Media Data ◽  
Social Media Mining ◽  
Analysis Technique ◽  
Media Data ◽  
Media Mining

Social media mining is the process of representing, analyzing, and extracting actionable patterns and trends from raw social media data. Social media is favored by many users since it is available to individuals without any limitations to share their opinions, educational learning experiences and concerns via their status. Twitter API, twitter4j, is processed for searching the tweets based on the geo location. Student's posts on social network offers us a stronger concern to take decisions concerning the particular education system's learning method of the system. Evaluating knowledge in social media is sort of a difficult method. Bayes classifier are enforced on deep-mined knowledge for analysis purpose to urge the deeper understanding of the information. It uses multi label classification technique as every label falls into completely different classes. Label based measures are mostly taken to research the results and comparing them with the prevailing sentiment analysis technique.

scholarly journals Social media mining in drug development—fundamentals and use cases

2021 ◽  
Author(s):  
Jonathan Koss ◽  
Astrid Rheinlaender ◽  
Hubert Truebel ◽  
Sabine Bohnet-Joschko
Keyword(s):  
Social Media ◽  
Drug Development ◽  
Use Cases ◽  
Social Media Mining ◽  
Media Mining

SOCIAL MEDIA MINING SHARED TASK WORKSHOP

2015 ◽  
Author(s):  
ABEED SARKER ◽  
AZADEH NIKFARJAM ◽  
GRACIELA GONZALEZ
Keyword(s):  
Social Media ◽  
Shared Task ◽  
Social Media Mining ◽  
Media Mining
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