Abstract: Automatic text summarization has been a prominent research topic for over a decade, aiming to distill concise summaries from extensive textual documents. This study introduces a novel ...
Abstract: This paper studies how modern text summarization methods can be used for the Sinhala language. It uses techniques like Fuzzy Clustering, Text Ranking, and Term Frequency-Inverse Document ...
One non-negotiable for all digital workers is a great hotspot. But streamlined productivity is a close second. Artificial intelligence tools are becoming better suited to the challenge and can be ...
Sentiment Analysis using NLP involves analyzing text data to determine the sentiment expressed, such as positive, negative, or neutral. It leverages techniques like tokenization, vectorization, and ...
It’s the shape and porosity, not the size, of metal oxide particles that matter for efficiency in electrochemical ironmaking. Iron and its alloys, such as steel and cast iron, dominate the modern ...
ABSTRACT: Malawi is a country well-endowed with natural resources, but until recently, the mining sector was remarkably underdeveloped, informal and immature. A recent discovery of the purest and ...
Resources engineering and extractive metallurgy encompass the evaluation, recovery and processing of Earth-derived materials to furnish metals and minerals essential for modern society. The field ...
This is a NLP project for Text Summarization which is built with Flask(RESTapi) and deployed on Heroku(PaaS) using NLTK for summarizing text. Here this app takes your huge paragraphs and gives out the ...