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...
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