Automating the Information Extraction from Semi-Structured Interview Transcripts

arXiv:2403.04819v1 Announce Type: new
Abstract: This paper explores the development and application of an automated system designed to extract information from semi-structured interview transcripts. Given the labor-intensive nature of traditional qualitative analysis methods, such as coding, there exists a significant demand for tools that can facilitate the analysis process. Our research investigates various topic modeling techniques and concludes that the best model for analyzing interview texts is a combination of BERT embeddings and HDBSCAN clustering. We present a user-friendly software …

abstract analysis application arxiv automated coding cs.cl cs.cy cs.ir cs.si demand development extract extraction information information extraction interview labor nature paper process research the information tools transcripts type