Analyzing Twitter sentiments through big data

M Kumar, A Bala - 2016 3rd international conference on …, 2016 - ieeexplore.ieee.org
The rise of social media has generated tremendous interest among Internet users today.
Data from these social networking sites can be used for a number of purposes, like …

A community perspective on resilience analytics: A visual analysis of community mood

A López‐Cuevas, J Ramírez‐Márquez… - Risk …, 2017 - Wiley Online Library
Social networks are ubiquitous in everyday life. Although commonly analyzed from a
perspective of individual interactions, social networks can provide insights about the …

Кросс-культурный тональный анализ пользовательских текстов в Твиттере

СС Бодрунова - Вестник Московского университета. Серия 10 …, 2018 - cyberleninka.ru
В статье представлен обзор современных исследований в области тонального
анализа естественного языка (sentiment analysis, сентимент-анализ) в сети Интернет …

An aspect of sentiment analysis: sentimental noun with dual sentimental words analysis

PK Chaki, I Hossain, PR Chanda… - … Conference on Current …, 2017 - ieeexplore.ieee.org
With the increasing number of digital data and new technologies, business trends and
model are becoming more dependent on computer science for making business decision …

Sampling techniques for streaming dataset using sentiment analysis

DY Priyanka, R Senthilkumar - 2016 International Conference …, 2016 - ieeexplore.ieee.org
Streaming data is very huge in size and it arrives continuously in a rapid manner. It may vary
from time to time. Scalability, Continuous Availability, Workload Diversity, Data Security and …

[PDF][PDF] Stock market prediction by regression model with social moods

M Ohmura, K Kakusho, T Okadome - International Journal of Industrial and …, 2014 - Citeseer
This paper presents a regression model with autocorrelated errors in which the inputs are
social moods obtained by analyzing the adjectives in Twitter posts using a document topic …

Sentimental Analysis for Social Media Topic Analysis Using Multi-tweet Sequential Summarization

A Pandiaraj, R Venkatesan, KS Chandru… - … Conference on Network …, 2023 - Springer
The rising of online media has delivered gigantic interest among Internet customers today.
Data from these long reach relational correspondence regions can be used for different …

Tweet sentiment analysis with latent dirichlet allocation

M Ohmura, K Kakusho, T Okadome - International Journal of …, 2014 - igi-global.com
The method proposed here analyzes the social sentiments from collected tweets that have at
least 1 of 800 sentimental or emotional adjectives. By dealing with tweets posted in a half a …

Retrieving, analyzing and visualizing emotion-related spatial information from user-generated content

E Hauthal, D Burghardt - KN-Journal of Cartography and Geographic …, 2015 - Springer
The present paper is a summary of the dissertation of the first author (Hauthal, 2015) which
deals with the extraction of georeferenced emotions from text data in the metadata of Flickr …

Sentiment Classification of Social Media Content with Features Generated Using Topic Models

SJ Blair, Y Bi, MD Mulvenna - STAIRS 2016, 2016 - ebooks.iospress.nl
This paper presents a method for using topic distributions generated from topic models as
features for performing sentiment analysis on documents. This will be tested in the social …