Apollo: Twitter stream analyzer of trending hashtags: A case-study of #COVID-19

Mehwish Alam; Manuel Kaschura; Harald Sack

Apollo: Twitter stream analyzer of trending hashtags: A case-study of #COVID-19

Mehwish Alam
, Manuel Kaschura
, Harald Sack

FIZ Karlsruhe - Leibniz Institute for Information Infrastructure
Institute of Meteorology and Climate Research

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

Résumé

This poster introduces a new tool named Apollo which an- alyzes textual information in the geo-tagged twitter streams of trending hashtags using sliding time window. It performs sentiment analysis as well as emotion detection of the opinions of the masses about a trend- ing world wide topic such as #COVID-19, #ClimateChange, #Black- LivesMatter, etc. based on Knowledge Graphs. Apollo currently pro- vides an interactive visualization of the analysis of the trending hashtag #COVID-19.

langue originale	Anglais
Pages (de - à)	64-68
Nombre de pages	5
journal	CEUR Workshop Proceedings
Volume	2721
état	Publié - 1 janv. 2020
Modification externe	Oui
Evénement	19th International Semantic Web Conference on Demos and Industry Tracks: From Novel Ideas to Industrial Practice, ISWC-Posters 2020 - Virtual, Online Durée: 1 nov. 2020 → 6 nov. 2020

Contient cette citation

@article{6b43d0f23d2247eeb8955a5c1fbc8e7f,

title = "Apollo: Twitter stream analyzer of trending hashtags: A case-study of \#COVID-19",

abstract = "This poster introduces a new tool named Apollo which an- alyzes textual information in the geo-tagged twitter streams of trending hashtags using sliding time window. It performs sentiment analysis as well as emotion detection of the opinions of the masses about a trend- ing world wide topic such as \#COVID-19, \#ClimateChange, \#Black- LivesMatter, etc. based on Knowledge Graphs. Apollo currently pro- vides an interactive visualization of the analysis of the trending hashtag \#COVID-19.",

author = "Mehwish Alam and Manuel Kaschura and Harald Sack",

note = "Publisher Copyright: {\textcopyright} 2020 CEUR-WS. All rights reserved.; 19th International Semantic Web Conference on Demos and Industry Tracks: From Novel Ideas to Industrial Practice, ISWC-Posters 2020 ; Conference date: 01-11-2020 Through 06-11-2020",

year = "2020",

month = jan,

day = "1",

language = "English",

volume = "2721",

pages = "64--68",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

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TY - JOUR

T1 - Apollo

T2 - 19th International Semantic Web Conference on Demos and Industry Tracks: From Novel Ideas to Industrial Practice, ISWC-Posters 2020

AU - Alam, Mehwish

AU - Kaschura, Manuel

AU - Sack, Harald

PY - 2020/1/1

Y1 - 2020/1/1

N2 - This poster introduces a new tool named Apollo which an- alyzes textual information in the geo-tagged twitter streams of trending hashtags using sliding time window. It performs sentiment analysis as well as emotion detection of the opinions of the masses about a trend- ing world wide topic such as #COVID-19, #ClimateChange, #Black- LivesMatter, etc. based on Knowledge Graphs. Apollo currently pro- vides an interactive visualization of the analysis of the trending hashtag #COVID-19.

AB - This poster introduces a new tool named Apollo which an- alyzes textual information in the geo-tagged twitter streams of trending hashtags using sliding time window. It performs sentiment analysis as well as emotion detection of the opinions of the masses about a trend- ing world wide topic such as #COVID-19, #ClimateChange, #Black- LivesMatter, etc. based on Knowledge Graphs. Apollo currently pro- vides an interactive visualization of the analysis of the trending hashtag #COVID-19.

M3 - Conference article

AN - SCOPUS:85096228251

SN - 1613-0073

VL - 2721

SP - 64

EP - 68

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 1 November 2020 through 6 November 2020

ER -

Apollo: Twitter stream analyzer of trending hashtags: A case-study of #COVID-19

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