Matches in SemOpenAlex for { <https://semopenalex.org/work/W2946674562> ?p ?o ?g. }
Showing items 1 to 61 of
61
with 100 items per page.
- W2946674562 abstract "We infer moods and how they vary with time using a dataset from the social media application Twitter. We used Python text mining techniques to gather all tweets originating from the Philippines within a span of 24 hours. From the dataset of around 130,000 tweets, we gathered the highest-frequency words and filtered out neutral words to come up with words that imply mood levels. We then plotted the density of keyword usage with respect to time, distinguishing between positive and negative moods. Our initial results of positive mood and negative mood trends are consistent with published studies regarding microblogging mood scales. The emergence of Big Data and the Internet of Things has greatly amplifed our ability not only to express ourselves but to understand each other." @default.
- W2946674562 created "2019-05-29" @default.
- W2946674562 creator A5068780137 @default.
- W2946674562 creator A5069774414 @default.
- W2946674562 creator A5078163920 @default.
- W2946674562 date "2019-01-01" @default.
- W2946674562 modified "2023-09-26" @default.
- W2946674562 title "Analysis of Filipino Mood Swings within a Day using Tweets" @default.
- W2946674562 doi "https://doi.org/10.5220/0007749803640369" @default.
- W2946674562 hasPublicationYear "2019" @default.
- W2946674562 type Work @default.
- W2946674562 sameAs 2946674562 @default.
- W2946674562 citedByCount "0" @default.
- W2946674562 crossrefType "proceedings-article" @default.
- W2946674562 hasAuthorship W2946674562A5068780137 @default.
- W2946674562 hasAuthorship W2946674562A5069774414 @default.
- W2946674562 hasAuthorship W2946674562A5078163920 @default.
- W2946674562 hasBestOaLocation W29466745621 @default.
- W2946674562 hasConcept C111919701 @default.
- W2946674562 hasConcept C136764020 @default.
- W2946674562 hasConcept C143275388 @default.
- W2946674562 hasConcept C15744967 @default.
- W2946674562 hasConcept C180747234 @default.
- W2946674562 hasConcept C204321447 @default.
- W2946674562 hasConcept C2780733359 @default.
- W2946674562 hasConcept C3017426381 @default.
- W2946674562 hasConcept C41008148 @default.
- W2946674562 hasConcept C518677369 @default.
- W2946674562 hasConcept C519991488 @default.
- W2946674562 hasConcept C66402592 @default.
- W2946674562 hasConcept C77805123 @default.
- W2946674562 hasConceptScore W2946674562C111919701 @default.
- W2946674562 hasConceptScore W2946674562C136764020 @default.
- W2946674562 hasConceptScore W2946674562C143275388 @default.
- W2946674562 hasConceptScore W2946674562C15744967 @default.
- W2946674562 hasConceptScore W2946674562C180747234 @default.
- W2946674562 hasConceptScore W2946674562C204321447 @default.
- W2946674562 hasConceptScore W2946674562C2780733359 @default.
- W2946674562 hasConceptScore W2946674562C3017426381 @default.
- W2946674562 hasConceptScore W2946674562C41008148 @default.
- W2946674562 hasConceptScore W2946674562C518677369 @default.
- W2946674562 hasConceptScore W2946674562C519991488 @default.
- W2946674562 hasConceptScore W2946674562C66402592 @default.
- W2946674562 hasConceptScore W2946674562C77805123 @default.
- W2946674562 hasLocation W29466745621 @default.
- W2946674562 hasOpenAccess W2946674562 @default.
- W2946674562 hasPrimaryLocation W29466745621 @default.
- W2946674562 hasRelatedWork W2783409278 @default.
- W2946674562 hasRelatedWork W2914645321 @default.
- W2946674562 hasRelatedWork W2946674562 @default.
- W2946674562 hasRelatedWork W3010752136 @default.
- W2946674562 hasRelatedWork W3115590054 @default.
- W2946674562 hasRelatedWork W3119862375 @default.
- W2946674562 hasRelatedWork W359818833 @default.
- W2946674562 hasRelatedWork W4225528169 @default.
- W2946674562 hasRelatedWork W4226088106 @default.
- W2946674562 hasRelatedWork W4245533943 @default.
- W2946674562 isParatext "false" @default.
- W2946674562 isRetracted "false" @default.
- W2946674562 magId "2946674562" @default.
- W2946674562 workType "article" @default.