In the recent past, more than 5 years or so, DL especially the large language models (LLMs)
has generated extensive studies out of a distinctly average downturn field of knowledge …

In this paper, we present the first deep learning approach to aspect extraction in opinion
mining. Aspect extraction is a subtask of sentiment analysis that consists in identifying …

Sentiment analysis is an area of study that aims to develop computational methods and tools
to extract and classify the opinions and emotions expressed by people on social networks …

A system for associating a string of natural language with items in a relational database
includes a first subsystem having a pre-trained first artificial neural network configured to …

Who does not know that Twitter is an august social networking podium now? Here the folks
around the globe are able to establish their viewpoints. Every day, almost 500 million tweets …

On Twitter, people from all parts of the planet will build their opinions and take feed from the
opinions, which produces around five hundred million tweets daily that amount to 8TB of …

Background Part-of-speech tagging is an important preprocessing step in many natural
language processing applications. Despite much work already carried out in this field, there …

The present paper studies the scope of sentiment analysis on news articles on impact of
economic downfall of the primary international stock markets, comparing it with that of …

Sentiment analysis can be regarded as a relation extraction problem in which the sentiment
of some opinion holder towards a certain aspect of a product, theme or event needs to be …

This article presents RastrOS, a new eye-tracking corpus of eye movement data from
university students during silent reading of paragraphs of texts in Brazilian Portuguese (BP) …