Sentiment analysis using semantic similarity and Hadoop MapReduce
Sign Up to like & getrecommendations! Published in 2018 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-018-1212-z
Abstract: Sentiment analysis or opinion mining is a domain that analyses people’s opinions, sentiments, evaluations, attitudes, and emotions from a written language; it had become a very active area of scientific research in recent years, especially… read more here.
Keywords: similarity; sentiment analysis; semantic similarity; tweet ... See more keywords
Comparing tweet sentiments in megacities using machine learning techniques: In the midst of COVID-19
Sign Up to like & getrecommendations! Published in 2021 at "Cities"
DOI: 10.1016/j.cities.2021.103273
Abstract: Abstract COVID-19 was announced by the World Health Organization as a pandemic on March 11, 2020. Not only has COVID-19 struck the economy and public health, but it also has deep influences on people's feelings.… read more here.
Keywords: machine learning; learning techniques; covid; tweet sentiments ... See more keywords
Understanding the Composition of a Successful Tweet in Urology.
Sign Up to like & getrecommendations! Published in 2019 at "European urology focus"
DOI: 10.1016/j.euf.2019.08.008
Abstract: BACKGROUND Little is known about the key composition of a successful tweet in urology. OBJECTIVE To investigate for predictors of engagement with urology content on Twitter. DESIGN, SETTING, AND PARTICIPANTS This was a cross-sectional study… read more here.
Keywords: successful tweet; composition successful; tweet urology; number ... See more keywords
We tweet Arabic; I tweet English: self-concept, language and social media
Sign Up to like & getrecommendations! Published in 2019 at "Heliyon"
DOI: 10.1016/j.heliyon.2019.e02087
Abstract: Differences in self-concept have been observed across cultures. Participants from collectivist societies tend to describe themselves using social and relational attributes (mother, student, Arab) more frequently than their individualist counterparts, who tend to rely more… read more here.
Keywords: social media; tweet arabic; tweet; self concept ... See more keywords
If Anything on This Graphic Causes Confusion, Discard the Entire Product
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Computer Graphics and Applications"
DOI: 10.1109/mcg.2019.2961716
Abstract: & ON THE MORNING of September 1, 2019, during the days when people in the Southeastern coast of the United States were preparing for the likely impact of hurricane Dorian, President Donald J. Trump sent… read more here.
Keywords: causes confusion; hurricane; anything graphic; confusion discard ... See more keywords
Enhanced geocoding precision for location inference of tweet text using spaCy, Nominatim and Google Maps. A comparative analysis of the influence of data selection
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0282942
Abstract: Twitter location inference methods are developed with the purpose of increasing the percentage of geotagged tweets by inferring locations on a non-geotagged dataset. For validation of proposed approaches, these location inference methods are developed on… read more here.
Keywords: location inference; geotagged dataset; tweet; location ... See more keywords
Using Artificial Intelligence to Develop a Lexicon-Based African American Tweet Detection Algorithm to Inform Culturally Sensitive Twitter-Based Social Support Interventions for African American Dementia Caregivers
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti210844
Abstract: We extracted 3,291,101 Tweets using hashtags associated with African American-related discourse (#BlackTwitter, #BlackLivesMatter, #StayWoke) and 1,382,441 Tweets from a control set (general or no hashtags) from September 1, 2019 to December 31, 2019 using the… read more here.
Keywords: tweet; lexicon based; twitter; african american ... See more keywords