Emotions-Based Disaster Tweets Classification: Real or Fake
. Social media platforms are considered interactive communication channels between governments, civil society organizations, and the public....
Dependency Structure-Based Rules Using Root Node Technique for Explicit Aspect Extraction From Online Reviews
. Abstract: Aspect-based sentiment analysis (ABSA) includes aspect extraction and sentiment analysis on those extracted aspects. This pape...
Hashtag-Based Tweet Expansion for Improved Topic Modeling
. Abstract— Topic modeling on tweets is known to experience under-specificity and data sparsity due to its character limitation. In earli...
Cyberbullying Detection Based on Emotion
. Abstract: Due to the detrimental consequences caused by cyberbullying, a great deal of research has been undertaken to propose effective ...
Detecting Favorite Topics in Computing Scientific Literature via Dynamic Topic Modeling
. ABSTRACT Topic modeling comprises a set of machine learning algorithms that allow topics to be extracted from a collection of documents...
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...
K-Means Clustering Algorithm: Applications, Types, and How Does It Work?
*** Every Machine Learning engineer wants to achieve accurate predictions with their algorithms. Such learning algorithms are generally bro...
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...
Subscribe to:
Posts (Atom)