Measuring Emotion in Parliamentary Debates with Automated Textual Analysis
*** Abstract: An impressive breadth of interdisciplinary research suggests that emotions have an influence on human behavior. Nonetheless, ...
Lexicon based feature extraction for emotion text classification
*** Abstract: General Purpose Emotion Lexicons (GPELs) that associate words with emotion categories remain a valuable resource for emotion a...
Expressions of Anxiety in Political Texts
*** Anxiety has a special importance in politics since the emotion is tied to decision-making under uncertainty, a feature of democratic ins...
Unsupervised Learning for Lexicon-Based Classification
*** Abstract: In lexicon-based classification, documents are assigned labels by comparing the number of words that appear from two opposed l...
Lexicon-Based Sentiment Analysis of Teachers’ Evaluation
*** Abstract: The end of the course evaluation has become an integral part of education management in almost every academic institution. Th...
Use of Word Clustering to Improve Emotion Recognition from Short Text
*** Abstract: Emotion recognition is an important component of affective computing, and is significant in the implementation of natural and ...
Dimensionality Reduction and Clustering
*** In the previous post, we have looked at how to calculate the similarity of the document pairs using ‘Cosine Similarity’ algorithm and fo...
Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-Blog
*** Abstract: Micro-blog has been increasingly used for the public to express their opinions, and for organizations to detect public sentime...
Empath: Understanding Topic Signals in Large-Scale Text
*** Abstract: Human language is colored by a broad range of topics, but existing text analysis tools only focus on a small number of them. ...
Fast Online EM for Big Topic Modeling
. Abstract— The expectation-maximization (EM) algorithm can compute the maximum-likelihood (ML) or maximum a posterior (MAP) point estimate...
K-means clustering based filter feature selection on high dimensional data
*** Abstract: With hundreds or thousands of features in high dimensional data, computational workload is challenging. In classification pr...
Sentiment Analysis: An Overview from Linguistics
*** Abstract: Sentiment analysis is a growing field at the intersection of linguistics and computer science that attempts to automatically d...
How translation alters sentiment
*** Abstract: Sentiment analysis research has predominantly been on English texts. Thus there exist many sentiment resources for English, b...
Enhancement of accuracy in K-means clustering
*** Abstract: Text Mining is remarkably a new and stimulating research area in this modern world of technological era. Text clustering is a...
Subscribe to:
Posts (Atom)