Like it or not: A survey of twitter sentiment analysis methods

A Giachanou, F Crestani - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
Sentiment analysis in Twitter is a field that has recently attracted research interest. Twitter is
one of the most popular microblog platforms on which users can publish their thoughts and …

Over a decade of social opinion mining: a systematic review

K Cortis, B Davis - Artificial intelligence review, 2021 - Springer
Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …

The ivory tower lost: How college students respond differently than the general public to the COVID-19 pandemic

V Duong, J Luo, P Pham, T Yang… - 2020 IEEE/ACM …, 2020 - ieeexplore.ieee.org
In the United States, the country with the highest confirmed COVID-19 infection cases, a
nationwide social distancing protocol has been implemented by the President. Following the …

A survey on sentiment analysis and opinion mining for social multimedia

Z Li, Y Fan, B Jiang, T Lei, W Liu - Multimedia Tools and Applications, 2019 - Springer
Social media sentiment analysis (also known as opinion mining) which aims to extract
people's opinions, attitudes and emotions from social networks has become a research …

Analytical map** of opinion mining and sentiment analysis research during 2000–2015

R Piryani, D Madhavi, VK Singh - Information Processing & Management, 2017 - Elsevier
The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …

Identifying comparative customer requirements from product online reviews for competitor analysis

J **, P Ji, R Gu - Engineering Applications of Artificial Intelligence, 2016 - Elsevier
A large volume of product online reviews are generated from time to time, which contain rich
information regarding customer requirements. These reviews help designers to make …

Machine learning techniques for sentiment analysis of COVID-19-related twitter data

N Braig, A Benz, S Voth, J Breitenbach… - IEEE Access, 2023 - ieeexplore.ieee.org
On Twitter, COVID-19 is a highly discussed topic. People worldwide have used Twitter to
express their viewpoints and feelings during the pandemic. Previous research has focused …

Role of social media in technology adoption for sustainable agriculture practices: Evidence from Twitter analytics

J Yadav, A Yadav, M Misra, NP Rana… - Communications of the …, 2023 - aisel.aisnet.org
Social networking sites provide a new means of communication for disseminating cutting-
edge agricultural technologies. These are unmediated interaction channels that enable a …

Social media big data analytics for demand forecasting: development and case implementation of an innovative framework

R Iftikhar, MS Khan - Research Anthology on Big Data Analytics …, 2022 - igi-global.com
Social media big data offers insights that can be used to make predictions of products' future
demand and add value to the supply chain performance. The paper presents a framework …

Systematic literature review on context-based sentiment analysis in social multimedia

A Kumar, G Garg - Multimedia tools and Applications, 2020 - Springer
The opinion seeking behavior of people for good decision making has greatly enhanced the
importance of social media as a platform for exchange of information. This trend has led to a …