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1
Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ...
OZPARLAK, GERCEK. - : Mendeley, 2019
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2
Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ...
OZPARLAK, GERCEK. - : Mendeley, 2019
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3
Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ...
OZPARLAK, GERCEK. - : Mendeley, 2019
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4
Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ...
OZPARLAK, GERCEK. - : Mendeley, 2019
Abstract: An 8-month period was analyzed for the collection of public tweets, which were recorded from February 13 to October 18, in 2017. 138.070 pieces English language- tweets posted by users related to Dow Jones Index (DJI) on a daily basis. On the other hand, 34.632 pieces Turkish language-tweets were posted by users that are obtained relating to the Istanbul Stock Exchange Index (ISE) in the same period. ...
Keyword: Behavioral Finance; FOS Languages and literature; Linguistics; Sentiment Analysis; Social Media; Twitter
URL: https://data.mendeley.com/datasets/gfvxdwgr7c/4
https://dx.doi.org/10.17632/gfvxdwgr7c.4
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5
Detecting and Monitoring Hate Speech in Twitter
In: Sensors ; Volume 19 ; Issue 21 (2019)
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6
Public Opinion Analysis of the Transportation Policy Using Social Media Data: A Case Study on the Delhi Odd–Even Policy
In: Civil, Construction and Environmental Engineering Publications (2019)
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7
Public Sentiment on Twitter and Stock Performance : A Study in Natural Language Processing ; Allmänna sentimentet på Twitter och aktiemarknaden : En studie i språkteknologi
Henriksson, Jimmy; Hultberg, Carl. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019
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8
Twitter Activity Of Urban And Rural Colleges: A Sentiment Analysis Using The Dialogic Loop
In: FIU Electronic Theses and Dissertations (2019)
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9
Semiautomatic dictionary-based tweet classification for measuring well-being
Cameletti, M. (orcid:0000-0002-6502-7779); Fabris, S.; Schlosser, S.. - : Università degli studi di Bergamo, 2019. : country:IT, 2019. : place:Bergamo, 2019
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10
Stroke Survivors on Twitter : Sentiment and Topic Analysis From a Gender Perspective
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11
Detecting and monitoring hate speech in Twitter
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12
Predicting literature's early impact with sentiment analysis in Twitter
In: 192 (2019)
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13
TEXT MINING ON TWITTER DATA TO EVALUATE SENTIMENT
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14
Happy parents’ tweets: An exploration of Italian Twitter data using sentiment analysis
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