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 …
Efficient utilization of pre-trained models: A review of sentiment analysis via prompt learning
K Bu, Y Liu, X Ju - Knowledge-Based Systems, 2024 - Elsevier
Sentiment analysis is one of the traditional well-known tasks in Natural Language
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …
Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers
Sentiment analysis through machine learning using Twitter data has become a popular topic
in recent years. Here we address the problem of sentiment analysis during critical events …
in recent years. Here we address the problem of sentiment analysis during critical events …
Bots increase exposure to negative and inflammatory content in online social systems
Societies are complex systems, which tend to polarize into subgroups of individuals with
dramatically opposite perspectives. This phenomenon is reflected—and often amplified—in …
dramatically opposite perspectives. This phenomenon is reflected—and often amplified—in …
Image-text multimodal emotion classification via multi-view attentional network
Compared with single-modal content, multimodal data can express users' feelings and
sentiments more vividly and interestingly. Therefore, multimodal sentiment analysis has …
sentiments more vividly and interestingly. Therefore, multimodal sentiment analysis has …
Image–text sentiment analysis via deep multimodal attentive fusion
Sentiment analysis of social media data is crucial to understand people's position, attitude,
and opinion toward a certain event, which has many applications such as election prediction …
and opinion toward a certain event, which has many applications such as election prediction …
Search engine marketing is not all gold: Insights from Twitter and SEOClerks
The study highlights how digital marketing is often detrimental, when it is done by unskilled
service providers. It highlights how the hyped services of search engine marketing (SEM) …
service providers. It highlights how the hyped services of search engine marketing (SEM) …
[KNIHA][B] Sentiment analysis and opinion mining
B Liu - 2022 - books.google.com
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …
Fuzzy rule based unsupervised sentiment analysis from social media posts
In this paper, we compute the sentiment of social media posts using a novel set of fuzzy
rules involving multiple lexicons and datasets. The proposed fuzzy system integrates Natural …
rules involving multiple lexicons and datasets. The proposed fuzzy system integrates Natural …
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 …