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2025
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| Online Access: | https://doi.org/10.5281/zenodo.14769833 |
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| _version_ | 1866902256656318464 |
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| author | Hari Prasad Bomma |
| author_facet | Hari Prasad Bomma |
| contents | <p>Modern day businesses face the challenge of analyzing and deriving actionable insights from the huge amount of data generated from various sources, including social media interactions. Natural Language Processing (NLP) has emerged as a pivotal technology in addressing this need across multiple sectors, by enabling the processing and understanding of unstructured data. Natural Language Processing is a rapidly evolving field within Artificial Intelligence that has significant implications for the field of Business Intelligence. This paper explores the role of NLP in BI, examining how it can be leveraged to improve decision making, enhance operational efficiency, and extract insights from unstructured data.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14769833 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Natural Language Processing (NLP) In Business Intelligence Hari Prasad Bomma <p>Modern day businesses face the challenge of analyzing and deriving actionable insights from the huge amount of data generated from various sources, including social media interactions. Natural Language Processing (NLP) has emerged as a pivotal technology in addressing this need across multiple sectors, by enabling the processing and understanding of unstructured data. Natural Language Processing is a rapidly evolving field within Artificial Intelligence that has significant implications for the field of Business Intelligence. This paper explores the role of NLP in BI, examining how it can be leveraged to improve decision making, enhance operational efficiency, and extract insights from unstructured data.</p> |
| title | Natural Language Processing (NLP) In Business Intelligence |
| url | https://doi.org/10.5281/zenodo.14769833 |