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...
Extending emotional lexicon for improving the classification accuracy of Chinese film reviews
*** ABSTRACT: It is challenging to build domain-specific emotional lexicon for film reviews, due to its unique characteristics, such as mass...
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...
COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification
*** Abstract: Along with the Coronavirus pandemic, another crisis has manifested itself in the form of mass fear and panic phenomena, fueled...
Lexicon-Based Sentiment Convolutional Neural Networks for Online Review Analysis
*** Abstract: With the growing availability and popularity of sentiment-rich resources like blogs and online reviews, new opportunities and ...
An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection
*** Abstract: With the prevalence of the Internet, online reviews have become a valuable information resource for people. However, the auth...
Unsupervised K-Means Clustering Algorithm
*** Abstract: The k-means algorithm is generally the most known and used clustering method. There are various extensions of k-means to be ...
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...
The Comparison of Clustering Algorithms K-Means and Fuzzy C-Means
*** Title: The Comparison of Clustering Algorithms K-Means and Fuzzy C-Means for Segmentation Retinal Blood Vessels *** Abstract: Introducti...
Analysis of K-Means Clustering Algorithm: A Case Study Using Large Scale E-Commerce Products
*** Abstract: E-commerce has become a crucial platform consists a large database of products with billions number of retailers and consumer...
A Multiple-Layer Machine Learning Architecture for Improved Accuracy in Sentiment Analysis
*** Abstract: Twitter is an online micro-blogging platform through which one can explore the hidden valuable and delightful information abou...
Implementation of Recurrent Network for Emotion Recognition of Twitter Data
*** Abstract: A new generation of emoticons, called emojis, is being largely used for both mobile and social media communications. Emojis a...
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