Showing posts with label unsupervised-learning. Show all posts
Showing posts with label unsupervised-learning. Show all posts
Semantic Unsupervised Automatic Keyphrases Extraction by Integrating Word Embedding with Clustering Methods
*** Abstract: Increasingly, the web produces massive volumes of texts, alone or associated with images, videos, photographs, together with s...
A Cooperative Binary-Clustering Framework Based on Majority Voting for Twitter Sentiment Analysis
*** Abstract: Twitter sentiment analysis is a challenging problem in natural language processing. For this purpose, supervised learning tec...
DepecheMood++: A Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques
*** Abstract: Several lexica for sentiment analysis have been developed; while most of these come with word polarity annotations (e.g., posi...
A comparative analysis of detection mechanisms for emotion detection
*** Abstract: This paper compared the performance of emotion detection mechanisms using dataset crawled from Facebook diabetes support group...
An Overview of Unsupervised Deep Feature Representation for Text Categorization
*** Abstract: High-dimensional features are extensively accessible in machine learning and computer vision areas. How to learn an efficient...
Deep Self-Evolution Clustering
*** Abstract: Clustering is a crucial but challenging task in pattern analysis and machine learning. Existing methods often ignore the comb...
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...
A Classifier Based Approach to Emotion Lexicon Construction
*** Abstract: The present task of developing an emotion lexicon shows the differences from the existing solutions by considering the definit...
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
*** Abstract: This paper presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not recomme...
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