Showing posts with label emotion-analysis. Show all posts
Showing posts with label emotion-analysis. Show all posts
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...
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 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. ...
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...
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...
Automatic emotion recognition in healthcare data using supervised machine learning
*** Abstract: Human feelings are fundamental to perceive the conduct and state of mind of an individual. A healthy emotional state is one ...
A review on sentiment analysis and emotion detection from text
*** Abstract: Social networking platforms have become an essential means for communicating feelings to the entire world due to rapid expansi...
Improving the emotion-based classification by exploiting the fuzzy entropy in FCM clustering
*** Abstract Emotion detection in the natural language text has drawn the attention of several scientific communities as well as commercial/...
EmoMix: Building an Emotion Lexicon for Compound Emotion Analysis
*** Abstract: Building a high-quality emotion lexicon is regarded as the foundation of research on emotion analysis. Existing methods have ...
A Context Integrated Model for Multi-label Emotion Detection
*** Abstract: This paper explores the impact of taking the environment within which a tweet is made, on the task of analyzing sentiment orie...
Word clustering based on POS feature for efficient twitter sentiment analysis
*** Abstract: With rapid growth of social networking service on Internet, huge amount of information are continuously generated in real time...
EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks
*** Accurate detection of emotion from natural language has applications ranging from building emotional chatbots to better understanding in...
Self-report captures 27 distinct categories of emotion bridged by continuous gradients
*** Abstract Emotions are centered in subjective experiences that people represent, in part, with hundreds, if not thousands, of semantic t...
Lexicon based feature extraction for emotion text classification
*** Abstract: General Purpose Emotion Lexicons (GPELs) that associate words with emotion categories remain a valuable resource for emotion a...
Theory of Variable Fuzzy Sets for Artificial Emotions Prediction
*** Abstract: Emotions have a very important impact on human’s beliefs, motivations, actions, and physical states. Emotions predicting and ...
Emotion classification of social media posts for estimating people’s reactions to communicated alert messages during crises
*** Abstract: One of the key factors influencing how people react to and behave during a crisis is their digital or non-digital social netwo...
What are emotions? And how can they be measured?
*** Abstract: Defining “emotion” is a notorious problem. Without consensual conceptualization and operationalization of exactly what phenom...
An argument for basic emotions
*** Abstract: Emotions are viewed as having evolved through their adaptive value in dealing with fundamental life-tasks. Each emotion has u...
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