Natural Language Processing Challenges and Issues: A Literature Review
Author:
ABRO Abdul Ahad1, TALPUR Mir Sajjad Hussain2, JUMANİ Awais Khan3
Affiliation:
1. EGE UNIVERSITY 2. Sindh Agriculture University Tandojam 3. ILMA University
Abstract
Natural Language Processing (NLP) is the computerized approach to analysing text using both structured and unstructured data. NLP is a simple, empirically powerful, and reliable approach. It achieves state-of-the-art performance in language processing tasks like Semantic Search (SS), Machine Translation (MT), Text Summarization (TS), Sentiment Analyser (SA), Named Entity Recognition (NER) and Emotion Detection (ED). NLP is expected to be the technology of the future, based on current technology deployment and adoption. The primary question is: What does NLP have to offer in terms of reality, and what are the prospects? There are several problems to be addressed with this developing method, as it must be compatible with future technology. In this paper, the benefits, challenges and limitations of this innovative paradigm along with the areas open to do research are shown.
Publisher
Gazi University Journal of Science
Subject
Multidisciplinary,General Engineering
Reference42 articles.
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