Media
How many emotions do humans have?
What do you think?
A Training-Optimization-Based Method for Constructing Domain-Specific Sentiment Lexicon
*** Abstract: Sentiment analysis has been widely used in text mining of social media to discover valuable information from user reviews. Se...
Tags
*jour*,
lexicon,
seed-lexicon,
sentiment-analysis
Spider Monkey Crow Optimization Algorithm With Deep Learning for Sentiment Classification and Information Retrieval
*** Abstract: The epidemic increase in online reviews’ growth made the sentiment classification a fascinating domain in academic and industr...
Emotion Recognition by Textual Tweets Classification Using Voting Classifier (LR-SGD)
*** Abstract: The proliferation of user-generated content on social media has made opinion mining an arduous job. As a microblogging platfo...
High-Dimensional Text Clustering by Dimensionality Reduction and Improved Density Peak
*** Abstract: This study focuses on high-dimensional text data clustering, given the inability of K-means to process high-dimensional data a...
Knowledge Guided Capsule Attention Network for Aspect-Based Sentiment Analysis
*** Abstract: Aspect-based (aspect-level) sentiment analysis is an important task in fine-grained sentiment analysis, which aims to automati...
A Novel Emotion Lexicon for Chinese Emotional Expression Analysis on Weibo: Using Grounded Theory and Semi-Automatic Methods
*** Abstract: As one of the most popular social media platforms in China, Weibo has aggregated huge numbers of texts containing people’s tho...
Label-less Learning for Emotion Cognition
*** Abstract: In this paper, we propose a label-less learning for emotion cognition (LLEC) to achieve the utilization of a large amount of u...
Subscribe to:
Posts (Atom)