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...
Deep Self-Evolution Clustering
*** Abstract: Clustering is a crucial but challenging task in pattern analysis and machine learning. Existing methods often ignore the comb...
Textual data dimensionality reduction - a deep learning approach
*** Abstract: The growth of Internet has produced a high volume of natural language textual data. Such data can be sparse and may contain u...
User emotion analysis in conflicting versus non-conflicting regions using online social networks
*** Abstract: Society plays a vital role in maintaining the emotional health of an individual. People living in conflicting zones are emoti...
A Survey of Textual Emotion Detection
*** Abstract: Emotion detection in text is a research field that gained an extensive interest recently. The advancement in communication ne...
Unsupervised Representative Feature Selection Algorithm Based on Information Entropy and Relevance Analysis
*** Abstract: Feature selection plays an important role in preprocessing in pattern recognition and data mining, especially in large scale i...
Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews
*** Abstract: The dramatic increase in the use of smartphones has allowed people to comment on various products at any time. The analysis o...
Subspace Clustering for High-Dimensional Data Using Cluster Structure Similarity
*** Abstract: This article describes how recently, because of the curse of dimensionality in high dimensional data, a significant amount of ...
EmoWordNet: Automatic Expansion of Emotion Lexicon Using English WordNet
*** Abstract: Nowadays, social media have become a platform where people can easily express their opinions and emotions about any topic such...
Study of text emotion analysis based on deep learning
*** Abstract: In traditional sentiment classification methods, sentiment-based methods rely heavily on the quality and coverage of sentiment...
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...
Introduction to machine learning
. Machine Learning (ML) = the practice of making computers learn without explicitly programming insights into the algorithm. Heuristic Appro...
Getting Started With Machine Learning
. Data Exploration 1) Variable identification 2) Cleaning of data 3) Transformation 4) Types of analysis 5) Missing values treatment 6) Out...
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora
*** Abstract: There is often the need to perform sentiment classification in a particular domain where no labeled document is available. Al...
Clustering and sentiment analysis on Twitter data
*** Abstract: Twitter is a social media platform is a great place where people from all parts of the world can make their opinions heard. T...
Identifying Objective and Subjective Words via Topic Modeling
. Abstract— It is observed that distinct words in a given document have either strong or weak ability in delivering facts (i.e., the objec...
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