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...
PDRM: No links between cops and fake accounts on social media
. KUALA LUMPUR: Bukit Aman has denied allegations that the police were linked to a troll farm on Facebook and Instagram which used fake acc...
Meta removes Malaysian 'troll farm' Facebook, Instagram accounts, some with links to police
. KUALA LUMPUR: The police have come under scrutiny after Meta said it had removed more than 600 Facebook and Instagram accounts from Malay...
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...
What is Clustering?
*** When you're trying to learn about something, say music, one approach might be to look for meaningful groups or collections. You mig...
What is Clustering?
*** Clustering Objectives: Define clustering for ML applications. Prepare data for clustering. Define similarity for your dataset. Compare m...
Emotion detection of social data: APIs comparative study
*** Abstract: The development of emotion detection technology has emerged as a highly valuable possibility in the corporate sector due to th...
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...
Research and Application of Clustering Algorithm for Text Big Data
*** Abstract: In the era of big data, text as an information reserve database is very important, in all walks of life. From humanities rese...
A multi-label emoji classification method using balanced pointwise mutual information-based feature selection
*** Abstract: The availability of social media such as twitter allows users to express their feeling, emotions and opinions toward a topic. ...
Fuzzy-Based Approach for Clustering Data with Multivalued Features
*** Abstract: In analysis of data, objects have mostly been characterized by a set of characteristics known as attributes, which together co...
TERMS: textual emotion recognition in multidimensional space
*** Abstract: Microblogs generate a vast amount of data in which users express their emotions regarding almost all aspects of everyday life....
Two-Level LSTM for Sentiment Analysis With Lexicon Embedding and Polar Flipping
*** Abstract: Sentiment analysis is a key component in various text mining applications. Numerous sentiment classification techniques, incl...
Construction of English Translation Model Based on Neural Network Fuzzy Semantic Optimal Control
*** Abstract: This work addresses four aspects of the English translation model: consistency, model structure, semantic understanding, and k...
A novel approach for dimension reduction using word embedding: An enhanced text classification approach
*** Abstract: One of the challenging tasks in text classification is to reduce the dimensional feature space. This paper discusses an enhan...
Climate Change Sentiment Analysis Using Lexicon, Machine Learning and Hybrid Approaches
*** Abstract: The emissions of greenhouse gases, such as carbon dioxide, into the biosphere have the consequence of warming up the planet, h...
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey
. Abstract— Analyzing short texts infers discriminative and coherent latent topics that is a critical and fundamental task since many real...
Political Hate Speech Detection and Lexicon Building: A Study in Taiwan
*** Abstract: There is the minimal restriction to users’ speech in cyberspace. The Internet provides a space where people can freely prese...
SenDemonNet: sentiment analysis for demonetization tweets using heuristic deep neural network
*** Abstract: Sentiment analysis is one of the efficient models for extracting opinion mining with identification and classification from un...
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...
Enriching the transfer learning with pre-trained lexicon embedding for low-resource neural machine translation
*** Abstract: Most State-Of-The-Art (SOTA) Neural Machine Translation (NMT) systems today achieve outstanding results based only on large pa...
Lexicon-Based vs. Bert-Based Sentiment Analysis: A Comparative Study in Italian
*** Abstract: Recent evolutions in the e-commerce market have led to an increasing importance attributed by consumers to product reviews mad...
Deep learning approach to text analysis for human emotion detection from big data
*** Abstract: Emotional recognition has arisen as an essential field of study that can expose a variety of valuable inputs. Emotion can be ...
Deep learning approach to text analysis for human emotion detection from big data
*** Abstract: Emotional recognition has arisen as an essential field of study that can expose a variety of valuable inputs. Emotion can be ...
Deep learning approach to text analysis for human emotion detection from big data
*** Abstract: Emotional recognition has arisen as an essential field of study that can expose a variety of valuable inputs. Emotion can be ...
EmoMix+: An Approach of Depression Detection Based on Emotion Lexicon for Mobile Application
*** Abstract: Emotion lexicon is an important auxiliary resource for text emotion analysis. Previous works mainly focused on positive and n...
EmoMix+: An Approach of Depression Detection Based on Emotion Lexicon for Mobile Application
*** Abstract: Emotion lexicon is an important auxiliary resource for text emotion analysis. Previous works mainly focused on positive and n...
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