Movie reviews are a valuable source of information for potential viewers. However, reading
all of the reviews can be time-consuming and overwhelming. Summarizing all of the reviews …

A comprehensive and high-quality lexicon plays a crucial role in traditional text classification
approaches. It improves the utilization of linguistic knowledge. Although it is helpful for this …

Movies have been important in our lives for many years. Movies provide entertainment,
inspire, educate, and offer an escape from reality. Movie reviews help us choose better …

This study conducts sentiment analysis on 50,000 movie reviews, comparing the traditional
Random Forest classifier with a Long Short-Term Memory (LSTM) network. The Random …

Background: The publicly available large dataset plays an important role in the development
of the natural language processing/computational linguistic research field. However, up to …

Sentiment analysis (SA) extracts customer opinions from reviews, but traditional word-level
and even deep learning (DL)-based phrase-or sentence-level methods struggle to capture …

Movie reviews reflect how the public feels about a movie they have watched. However,
because many reviews are posted on various websites, it is practically impossible to read …

Retrieving information from evolving digital data collection using a user's query is always
essential and needs efficient retrieval mechanisms that help reduce the required time from …