Showing posts with label *jour*. Show all posts
Showing posts with label *jour*. Show all posts
Sentiment analysis and opinion mining on educational data: A survey
*** Abstract: Sentiment analysis AKA opinion mining is one of the most widely used NLP applications to identify human intentions from their ...
Emotion recognition in election day tweets using optimised kernel extreme learning machine classifier
*** ABSTRACT: Today, microblogging has turned into a very well-known specialised device among web clients. A huge number of clients share i...
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
*** Abstract: This article surveys and organizes research works in a new paradigm in natural language processing, which we dub “ prompt-base...
Survey on sentiment analysis: evolution of research methods and topics
*** Abstract: Sentiment analysis, one of the research hotspots in the natural language processing field, has attracted the attention of res...
A Novel Approach for Emotion Detection and Sentiment Analysis for Low Resource Urdu Language Based on CNN-LSTM
*** Abstract: Emotion detection (ED) and sentiment analysis (SA) play a vital role in identifying an individual’s level of interest in any g...
On the subjectivity of emotions in software projects: How reliable are pre-labeled data sets for sentiment analysis?
*** Abstract Social aspects of software projects become increasingly important for research and practice. Different approaches analyze the...
A Survey on Aspect-Based Sentiment Classification
*** Abstract: With the constantly growing number of reviews and other sentiment-bearing texts on the Web, the demand for automatic sentiment...
Using sentiment analysis to evaluate qualitative students’ responses
*** Text analytics in education has evolved to form a critical component of the future SMART campus architecture. Sentiment analysis and qu...
A survey on deep learning for textual emotion analysis in social networks
*** Abstract Textual Emotion Analysis (TEA) aims to extract and analyze user emotional states in texts. Various Deep Learning (DL) methods...
An efficient way of text-based emotion analysis from social media using LRA-DNN
*** Abstract: Text devices are effectively and heavily used for interactions these days. Emotion extraction from the text has derived huge ...
The Scalable Fuzzy Inference-Based Ensemble Method for Sentiment Analysis
*** Abstract: Internet environments such as social networks, news sites, and blogs are the platforms where people can share their ideas and ...
A Deep Learning-Based Text Emotional Analysis Framework for Yellow River Basin Tourism Culture
*** Abstract: As an important carrier of cultural communication, tourism can play a positive role in promoting regional ecology and cultural...
Vector based sentiment and emotion analysis from text: A survey
*** Abstract: As a primary means of communication, texts are used to implicitly or explicitly reflect emotions. Emotion or sentiment detect...
Machine Learning and Lexicon Approach to Texts Processing in the Detection of Degrees of Toxicity in Online Discussions
*** Abstract: This article focuses on the problem of detecting toxicity in online discussions. Toxicity is currently a serious problem when...
Text-Based Emotion Recognition Using Deep Learning Approach
*** Abstract: Sentiment analysis is a method to identify people's attitudes, sentiments, and emotions towards a given goal, such as peop...
The Longest Month: Analyzing COVID-19 Vaccination Opinions Dynamics From Tweets in the Month Following the First Vaccine Announcement
*** Abstract: The coronavirus outbreak has brought unprecedented measures, which forced the authorities to make decisions related to the in...
Textual Emotion Detection Approaches: a Survey
*** Abstract: Over the past decades, social media attracted individuals to express their feelings on any topic or item, resulting in an incr...
Crowd Decision Making: Sparse Representation Guided by Sentiment Analysis for Leveraging the Wisdom of the Crowd
*** Abstract: The “wisdom of the crowd” theory states that a nonexpert crowd makes smarter decisions than a reduced set of experts. Social ...
Deep Learning-Based Text Emotion Analysis for Legal Anomie
*** Abstract: Text emotion analysis is an effective way for analyzing the emotion of the subjects’ anomie behaviors. This paper proposes a ...
A Complete Process of Text Classification System Using State-of-the-Art NLP Models
*** Abstract: With the rapid advancement of information technology, online information has been exponentially growing day by day, especially...
Subscribe to:
Posts (Atom)