NLPBoxes (A Text Analytics Engine)

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dc.contributor.author Affan Ahmed, 01-131192-002
dc.contributor.author Shahbaz Hussain, 01-131192-052
dc.date.accessioned 2023-08-28T07:15:44Z
dc.date.available 2023-08-28T07:15:44Z
dc.date.issued 2023
dc.identifier.uri http://hdl.handle.net/123456789/16098
dc.description Supervised by Dr. Raja Muhammad Suleman en_US
dc.description.abstract Organizations and individuals have to cope with the challenge of gathering valuable insights from vast textual data in the modern digital age. NLPBoxes offers an innovative web-based platform that addresses this need. By integrating cutting-edge algorithms and techniques, NLPBoxes enables users to perform various natural language processing (NLP) tasks such as sentiment analysis, text summarisation, topic modeling, named entity recognition, and text-to-art generation. The user-friendly interface of NLPBoxes makes it accessible to both technical and non-technical users, empowering them to leverage the power of NLP without requiring deep technical knowledge. It offers a consolidated and efficient solution for text analytics, addressing the challenges of manual analysis and disparate NLP tools. With its scalability, customization options, and cloud-based infrastructure, NLPBoxes opens new possibilities for organizations and individuals to unlock the potential of their textual data. Experience the power of NLP with NLPBoxes and gain valuable insights for informed decision-making and competitive advantage. en_US
dc.language.iso en en_US
dc.publisher Software Engineering, Bahria University Engineering School Islamabad en_US
dc.relation.ispartofseries BSE;P-2325
dc.subject Software Engineering en_US
dc.subject Microsoft Azure Text Analytics en_US
dc.subject Research on NLP Tasks en_US
dc.title NLPBoxes (A Text Analytics Engine) en_US
dc.type Project Reports en_US


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