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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 |