Finding and exploring Similarity, relations, sentiments from a text, sentence, corpus using different NLP techniques

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dc.contributor.advisorMohammad Ashrafuzzaman Khan
dc.contributor.authorShahnila
dc.contributor.authorAsif Hassan Rahul
dc.contributor.authorSamil Abdullah
dc.contributor.id1610450042
dc.contributor.id1620787042
dc.contributor.id1611408642
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025-06-29
dc.date.accessioned2025-06-29T10:06:43Z
dc.date.available2025-06-29T10:06:43Z
dc.date.issued2021
dc.description.abstractNatural language processing (NLP) is the intersection of computer science, linguistics and machine learning to understand language much like humans do. The field focuses on communication between computers and humans in natural language and NLP is all about making computers understand and generate human language. It’s useful to businesses because it breaks down human language making it easier for machines to analyze automatically .With no-code NLP-driven platforms like Monkey Learn popping up NLP tools are becoming more accessible than ever, helping businesses automatically process huge quantities of text data, streamline their operations, reduce costs, improve customer satisfaction, and more. We have worked on extracting relations, similarities, entities, characters by using different natural language processing techniques from different books, news articles, emails etc. and displayed them in graph so people can view them easily and quickly . There were errors and we solved them. we have also applied different methods applicable to check which methods are more preferable.
dc.description.degreeUndergraduate
dc.identifier.cd600000602
dc.identifier.print-thesisTo be assigned
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1194
dc.language.isoen
dc.publisherNorth South University
dc.rights© NSU Library
dc.titleFinding and exploring Similarity, relations, sentiments from a text, sentence, corpus using different NLP techniques
dc.typeThesis
oaire.citation.endPage91
oaire.citation.startPage1
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