Sentiment Analysis (SA) of text reviews is an emerging concern in Natural Language
Processing (NLP). It is a broadly active method for analyzing and extracting opinions from …

The LSTM network was proposed to overcome the difficulty in learning long-term
dependence, and has made significant advancements in applications. With its success and …

State-of-the-art classification and regression models are often not well calibrated, and
cannot reliably provide uncertainty estimates, limiting their utility in safety-critical …

This book provides a perspective on the application of machine learning-based methods in
knowledge discovery from natural languages texts. By analysing various data sets …

Today, people are exchanging their thoughts through online Web forums, blogs, and
different social media platforms. Sometimes, they are giving reviews and opinions on …

In the last decade, opinion mining has been explored by using various machine learning
methods. In the literature, document-level sentiment analysis has been majorly dealt with …

We present a multimodal corpus for sentiment analysis based on the existing Switchboard-1
Telephone Speech Corpus released by the Linguistic Data Consortium. This corpus extends …

Recommender systems suggest relevant item (s) to a new user by analyzing the existing
user/item data. In recommender systems, collaborative filtering (CF) is a widely used …

This paper addresses the challenge of forecasting multivariate long-memory time series.
While statistical models such as the autoregressive fractionally integrated moving average …

Crime analysis has become an interesting field that deals with serious public safety issues
recognized around the world. Today, investigating Twitter Sentiment Analysis (SA) is a …