Computational approaches for emotion detection in text
Emotions are part and parcel of human life and among other things, highly influence
decision making. Computers have been used for decision making for quite some time now …
decision making. Computers have been used for decision making for quite some time now …
Sentiment analysis of amazon product reviews using hybrid rule-based approach
A Dadhich, B Thankachan - … in Computing: Proceedings of SSIC 2021, 2022 - Springer
In the past few years, retail market industries have taken a broad form to sell the products
online and also to give the opportunity to customers to provide their valuable feedbacks …
online and also to give the opportunity to customers to provide their valuable feedbacks …
Improving e-learning with sentiment analysis of users' opinions
E-learning has witnessed a great interest from the part of corporations, educational
institutions and individuals alike. As an education pattern, e-learning systems have become …
institutions and individuals alike. As an education pattern, e-learning systems have become …
Aspect-based opinion extraction from customer reviews
Text is the main method of communicating information in the digital age. Messages, blogs,
news articles, reviews, and opinionated information abound on the Internet. People …
news articles, reviews, and opinionated information abound on the Internet. People …
Sentiment analysis of social issues
M Karamibekr, AA Ghorbani - 2012 international conference on …, 2012 - ieeexplore.ieee.org
Sentiment analysis refers to a broad range of fields of natural language processing,
computational linguistics, and text mining. Sentiment classification of reviews and comments …
computational linguistics, and text mining. Sentiment classification of reviews and comments …
Opinion mining of news headlines using SentiWordNet
Opinion Mining (also known as “Sentiment Analysis”) is an area of text classification which
continuously gives its contribution in research field. The main objective of Opinion mining is …
continuously gives its contribution in research field. The main objective of Opinion mining is …
E-learning and sentiment analysis: a case study
E-Learning is becoming one of the most effective training approaches. In particular, the
blended learning is considered a useful methodology for supporting and understanding …
blended learning is considered a useful methodology for supporting and understanding …
Measuring design-level information quality in online reviews
IA Yagci, S Das - Electronic Commerce Research and Applications, 2018 - Elsevier
Online product reviews are an important type of user-generated content. For product
designers, they offer valuable information that identifies consumer likes, dislikes and …
designers, they offer valuable information that identifies consumer likes, dislikes and …
A new significant area: Emotion detection in e-learning using opinion mining techniques
E-learning has sprung up much interest in corporations, educational institutions and
individuals alike. Recently, it has been discovered that emotion can affect the e-learning …
individuals alike. Recently, it has been discovered that emotion can affect the e-learning …
Big data analysis to features opinions extraction of customer
A Mars, MS Gouider - Procedia computer science, 2017 - Elsevier
Opinion mining refers to extract subjective information from text data using tools such as
natural language processing (NLP), text analysis and computational linguistics. Micro …
natural language processing (NLP), text analysis and computational linguistics. Micro …