Like it or not: A survey of twitter sentiment analysis methods
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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
Social networking sites provide a new means of communication for disseminating cutting-
edge agricultural technologies. These are unmediated interaction channels that enable a …
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
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 …
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
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 …
importance of social media as a platform for exchange of information. This trend has led to a …