id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_npzilchxh5gilmk5klmovn3l4a	M. Alam	Apollo: Twitter stream analyzer of trending hashtags: A case-study of #COVID-19	2020	5	.pdf	application/pdf	1666	166	59	This poster introduces a new tool named Apollo which analyzes textual information in the geo-tagged twitter streams of trending well as emotion detection of the opinions of the masses about a trending world wide topic such as #COVID-19, #ClimateChange, #BlackLivesMatter, etc. Apollo currently provides an interactive visualization of the analysis of the trending hashtag the stream of English tweets related to #COVID-19. http://covid-twitter-stream.fiz-karlsruhe.de/ http://covid-twitter-stream.fiz-karlsruhe.de/ Apollo processes these twitter streams using sliding time window, retrieves geo-referenced tweets on the run and performs knowledge-aware sentiment analysis and emotion detection of the masses about the pandemic as well as frame 2 Knowledge-Aware Twitter Stream Sentiment Analysis obtaining twitter stream pertaining to particular hashtag such as #COVID-19 Framester is a large linguistic linked open data including about 30 million when we talk about COVID19: mental health analysis on tweets using natural language processing. Apollo: Twitter Stream Analyzer of Trending Hashtags: A Case-study of #COVID-19	./cache/work_npzilchxh5gilmk5klmovn3l4a.pdf	./txt/work_npzilchxh5gilmk5klmovn3l4a.txt