A comprehensive survey on sentiment analysis: Approaches, challenges and trends
Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
Text mining for market prediction: A systematic review
The quality of the interpretation of the sentiment in the online buzz in the social media and
the online news can determine the predictability of financial markets and cause huge gains …
the online news can determine the predictability of financial markets and cause huge gains …
Sentiment analysis: A review and comparative analysis of web services
Sentiment Analysis (SA), also called Opinion Mining, is currently one of the most studied
research fields. It aims to analyze people's sentiments, opinions, attitudes, emotions, etc …
research fields. It aims to analyze people's sentiments, opinions, attitudes, emotions, etc …
Fuzzy logic applied to opinion mining: a review
The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …
available user-generated information. Within this information, it is easy to find subjective …
Analytical mapping 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 …
KnowMIS-ABSA: an overview and a reference model for applications of sentiment analysis and aspect-based sentiment analysis
G D'Aniello, M Gaeta, I La Rocca - Artificial Intelligence Review, 2022 - Springer
The analysis of the opinions of customers and users has been always of great interest in
supporting decision-making in many fields, especially in marketing. Sentiment analysis (SA) …
supporting decision-making in many fields, especially in marketing. Sentiment analysis (SA) …
Analyzing how emotion awareness influences students' motivation, engagement, self-regulation and learning outcome
Considering social and emotional competence in learning, emotion awareness aims to
detect the emotions that students show during their learning interactions and make these …
detect the emotions that students show during their learning interactions and make these …
Spread of misinformation in social networks: Analysis based on Weibo tweets
H Luo, M Cai, Y Cui - Security and Communication Networks, 2021 - Wiley Online Library
Social networks are filled with a large amount of misinformation, which often misleads the
public to make wrong decisions, stimulates negative public emotions, and poses serious …
public to make wrong decisions, stimulates negative public emotions, and poses serious …
A systematic literature review on opinion types and sentiment analysis techniques: Tasks and challenges
Purpose The purpose of this paper is to map the evidence provided on the review types, and
explain the challenges faced by classification techniques in sentiment analysis (SA). The …
explain the challenges faced by classification techniques in sentiment analysis (SA). The …
Semi-supervised dimensional sentiment analysis with variational autoencoder
Dimensional sentiment analysis (DSA) aims to compute real-valued sentiment scores of
texts in multiple dimensions such as valence and arousal. Existing methods for DSA are …
texts in multiple dimensions such as valence and arousal. Existing methods for DSA are …