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 …

Sentiment analysis: a review and comparative analysis over social media

NK Singh, DS Tomar, AK Sangaiah - Journal of Ambient Intelligence and …, 2020 - Springer
Sentiment analysis is the computational examination of end user's opinion, attitudes and
emotions towards a particular topic or product. Sentiment analysis classifies the message …

An analysis of annotated corpora for emotion classification in text

LAM Bostan, R Klinger - 2018 - fis.uni-bamberg.de
Several datasets have been annotated and published for classification of emotions. They
differ in several ways:(1) the use of different annotation schemata (eg, discrete label sets …

Sentiment analysis of news articles: a lexicon based approach

S Taj, BB Shaikh, AF Meghji - 2019 2nd international …, 2019 - ieeexplore.ieee.org
Modern technological era has reshaped traditional lifestyle in several domains. The medium
of publishing news and events has become faster with the advancement of Information …

Extraction of emotions from multilingual text using intelligent text processing and computational linguistics

VK Jain, S Kumar, SL Fernandes - Journal of computational science, 2017 - Elsevier
Abstract Extraction of Emotions from Multilingual Text posted on social media by different
categories of users is one of the crucial tasks in the field of opining mining and sentiment …

Evaluating subjective cognitive appraisals of emotions from large language models

H Zhan, DC Ong, JJ Li - arXiv preprint arXiv:2310.14389, 2023 - arxiv.org
The emotions we experience involve complex processes; besides physiological aspects,
research in psychology has studied cognitive appraisals where people assess their …

SRL4E–Semantic Role Labeling for Emotions: A unified evaluation framework

C Campagnano, S Conia, R Navigli - Proceedings of the 60th …, 2022 - aclanthology.org
In the field of sentiment analysis, several studies have highlighted that a single sentence
may express multiple, sometimes contrasting, sentiments and emotions, each with its own …

Multi‐Rule Based Ensemble Feature Selection Model for Sarcasm Type Detection in Twitter

K Sundararajan, A Palanisamy - … intelligence and neuroscience, 2020 - Wiley Online Library
Sentimental analysis aims at inferring how people express their opinion over any piece of
text or topic of interest. This article deals with detection of an implicit form of the sentiment …

An effective approach for emotion detection in multimedia text data using sequence based convolutional neural network

K Shrivastava, S Kumar, DK Jain - Multimedia tools and applications, 2019 - Springer
In the recent trends, the world has stepped into a multimedia era for enhancing business,
recommendation systems, and information retrieval, etc. Multimedia data is highly rich in …

Challenges and opportunities of text-based emotion detection: A survey

A Al Maruf, F Khanam, MM Haque, ZM Jiyad… - IEEE …, 2024 - ieeexplore.ieee.org
Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …