Abstract Automatic Text Summarization (ATS) is becoming much more important because of
the huge amount of textual content that grows exponentially on the Internet and the various …

Eliciting informative user opinions from online reviews is a key success factor for innovative
product design and development. The unstructured, noisy, and verbose nature of user …

3.1 Proposed attribute-level sentiment analysis...................... 20 3.2 Proposed attribute-level
sentiment analysis...................... 22 3.3 Clusters of users identified based on the similarity of …

This paper propose an automatic summarization method for a lecture video transcript that
uses attention based Recurrent Neural Network (RNN) to capture the content of the lecture …

This paper explores the complex field of text summarization in Natural Language Processing
(NLP), with particular attention to the development and importance of semantic …

With the burst of information on the Web, there is a need to compress without eliminating
facts and index for further reference highlighting the need for automatic text summarization …

People tend to read multiple news articles on a certain news topic since a single news
article may not contain all the important information. A summary of all the articles related to …

Using Reuters data and machine learning, this paper explores the potential role of linguistic
features of 972,144 business news headlines in going-concern opinion predictions. This …

This defines a news summarization web application using Streamlit, allowing users to
access and read news articles from various sources. Here's an abstract of what the project …

Data is growing at an unimaginable speed around us, but what part of it is really useful
information? Business leaders, financial analysts, stock market enthusiasts, researchers etc …