The explosive growth of online education environments is generating a massive volume of
data, specially in text format from forums, chats, social networks, assessments, essays …

Due to the growing interest in e-learning as an important process of teaching and learning,
new mechanisms to evaluate its pedagogical effectiveness are necessaries. This review …

Today, modern educational models are concerned with the development of the teacher-
student experience and the potential opportunities it presents. User-centric analyses are …

Natural language processing and machine learning can be applied to student feedback to
help university administrators and teachers address problematic areas in teaching and …

This paper presents a comparison among several sentiment analysis classifiers using three
different techniques–machine learning, deep learning, and an evolutionary approach called …

From the last twenty years, the application of Internet based technologies had brought a
significant impact on the Indian stock market. Use of the Internet has eliminated the barriers …

Opinion Mining (OM) is a field of Natural Language Processing (NLP) that aims to capture
human sentiment in the given text. With the ever-spreading of online purchasing websites …

Monitoring learners' satisfaction (LS) is a vital action for collecting precious information and
design valuable online collaborative learning (CL) experiences. Today's CL platforms allow …

Sentiment analyzer systems may include feedback analytics servers configured to receive
and analyze feedback data from various client devices. Feedback data may be received and …

The World Wide Web has intensely evolved a novel way for people to express their views
and opinions about different topics, trends and issues. The user-generated content present …