Development of a component-based, media data processing and classifying system powered by Artificial Intelligence, accessible via Web API

Krsteski, S. (2018) Development of a component-based, media data processing and classifying system powered by Artificial Intelligence, accessible via Web API. “St Kliment Ohridski” University - Bitola, Faculty of Information and Communication Technologies - Bitola, Republic of Macedonia, pp. 64-68. ISBN 978-9989-870-80-4

Full text not available from this repository.
Official URL: https://aiitconference.org/2018/proceedings

Abstract

Natural Language Processing (NLP) is a route for computers to examine, comprehend, analyze and get significance from human language in a smart and valuable way. By using NLP, engineers can compose and structure information to perform tasks like sentiment analysis, translation, speech recognition, named entity recognition, topic segmentation and automatic summarization. NLP is described as a difficult issue in software engineering. Human dialect is rarely exact, or evidently spoken. To comprehend human language is to understand the words, as well as the ideas and how they're connected together to make meaning. Despite language being one of the most effortless things for people to take in, the uncertainty of it is the thing that makes regular dialect handling a troublesome issue for computers to ace. NLP is utilized to analyze content, enabling machines to comprehend how humans talk. This human-PC association empowers genuine applications like sentiment analysis, stemming, relationship and topic extraction, summarization, parts-of-speech tagging, named entity recognition and more. NLP is ordinarily utilized for content mining, automated question answering, and machine translation.

Item Type: Book
Subjects: Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions: Faculty of Information and Communication Technologies
Depositing User: Mrs Natasha Tabakovska
Date Deposited: 01 Mar 2019 23:09
Last Modified: 13 May 2019 08:43
URI: http://eprints.uklo.edu.mk/id/eprint/1494

Actions (login required)

View Item View Item