App for Resume-Based Job Matching with Speech Interviews and Grammar Analysis: A Review

November 20, 2023 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: App for Resume-Based Job Matching with Speech Interviews and Grammar Analysis: A Review"

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Authors Tanmay Kulkarni, Yuvraj Pardeshi, Yash Shah, Vaishnvi Sakat, Sapana Bhirud arXiv ID 2311.14729 Category cs.CL: Computation & Language Cross-listed cs.IR, cs.LG Citations 0 Venue arXiv.org Last Checked 4 days ago
Abstract
Through the advancement in natural language processing (NLP), specifically in speech recognition, fully automated complex systems functioning on voice input have started proliferating in areas such as home automation. These systems have been termed Automatic Speech Recognition Systems (ASR). In this review paper, we explore the feasibility of an end-to-end system providing speech and text based natural language processing for job interview preparation as well as recommendation of relevant job postings. We also explore existing recommender-based systems and note their limitations. This literature review would help us identify the approaches and limitations of the various similar use-cases of NLP technology for our upcoming project.
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