A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
Current state of text sentiment analysis from opinion to emotion mining
A Yadollahi, AG Shahraki, OR Zaiane - ACM Computing Surveys (CSUR …, 2017 - dl.acm.org
Sentiment analysis from text consists of extracting information about opinions, sentiments,
and even emotions conveyed by writers towards topics of interest. It is often equated to …
and even emotions conveyed by writers towards topics of interest. It is often equated to …
[PDF][PDF] Attention-based LSTM for aspect-level sentiment classification
Aspect-level sentiment classification is a finegrained task in sentiment analysis. Since it
provides more complete and in-depth results, aspect-level sentiment analysis has received …
provides more complete and in-depth results, aspect-level sentiment analysis has received …
[BOOK][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 …
A survey on opinion mining and sentiment analysis: tasks, approaches and applications
With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …
on web regarding day-to-day activities and global issues as well. Evolution of social media …
Lexicon-based methods for sentiment analysis
We present a lexicon-based approach to extracting sentiment from text. The Semantic
Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic …
Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic …
Opinion mining and sentiment analysis
An important part of our information-gathering behavior has always been to find out what
other people think. With the growing availability and popularity of opinion-rich resources …
other people think. With the growing availability and popularity of opinion-rich resources …
[BOOK][B] Sentiment analysis: Mining opinions, sentiments, and emotions
B Liu - 2020 - books.google.com
Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …
moods, and attitudes. This fascinating problem offers numerous research challenges, but …
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 …
Classification of sentiment reviews using n-gram machine learning approach
With the ever increasing social networking and online marketing sites, the reviews and blogs
obtained from those, act as an important source for further analysis and improved decision …
obtained from those, act as an important source for further analysis and improved decision …