id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ricr5udsvfbg5i4ngy2yyfhvsm	Kritika Mishra	A Novel Framework Using Neutrosophy for Integrated Speech and Text Sentiment Analysis	2020	22	.pdf	application/pdf	7806	719	63	analysis on audio files by calculating their Single-Valued Neutrosophic Sets (SVNS) and clustering them into positive-neutral-negative and combines these results with those obtained by performing sentiment is used to generate Single Value Neutrosophic Sets (SVNS) for the audio. For the sentiment analysis of text part, the translation of the audio is provided as text files along with It will result in the analysis of the overall positive, neutral and negative sentiments which will audio and text SVNS which are again clustered and visualized for comparison. The K-means algorithms used for clustering SVNS values for sentiment analysis was proposed in [13]. algorithms, the SVNS of audio, text and combined modules were visualized into 3 clusters. Now the text file is processed with the VADER tool for analysis, which generates SVNS values in novel framework that combines audio features, sentiment analysis, and neutrosophy to generate SVNS	./cache/work_ricr5udsvfbg5i4ngy2yyfhvsm.pdf	./txt/work_ricr5udsvfbg5i4ngy2yyfhvsm.txt