Abstract
The ongoing progress of technology has led to a strong focus on the merging of Natural Language Processing (NLP) and Information Retrieval (IR) in current research. This paper provides a comprehensive analysis of the fundamental concepts, importance, and difficulties encountered in the domains of NLP and IR, examining their effects on real-world applications. By examining the present state of NLP technology in information retrieval, it is evident that the advancement of NLP technology has introduced fresh opportunities for information retrieval, such as the NLPIR model. However, it also encounters problems in terms of adaptability and generalization capacity. Future study should prioritize enhancing the precision and efficiency of NLP technology, as well as investigating its suitability and adaptability in dealing with certain domains or languages. By consistently striving and introducing new ideas, the fields of NLP and information retrieval will have a promising future, offering individuals more convenient and precise information retrieval services.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
