Matches in SemOpenAlex for { <https://semopenalex.org/work/W2801511296> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W2801511296 endingPage "1394" @default.
- W2801511296 startingPage "1394" @default.
- W2801511296 abstract "Proliferation of internet and social media has greatly increased the popularity of text communication. People convey their sentiment and emotion through text which promotes lively communication. Consequently, a tremendous amount of emotional text is generated on different social media and blogs in every moment. This has raised the necessity of automated tool for emotion mining from text. There are various rule based approaches of emotion extraction form text based on emotion intensity lexicon. However, creating emotion intensity lexicon is a time consuming and tedious process. Moreover, there is no hard and fast rule for assigning emotion intensity to words. To solve these difficulties, we propose a machine learning based approach of emotion extraction from text which relies on annotated example rather emotion intensity lexicon. We investigated Multinomial Naive Bayesian (MNB) Classifier, Artificial Neural Network (ANN) and Support Vector Machine (SVM) for mining emotion from text. In our setup, SVM outperformed other classifiers with promising accuracy." @default.
- W2801511296 created "2018-05-17" @default.
- W2801511296 creator A5066410729 @default.
- W2801511296 creator A5081434714 @default.
- W2801511296 date "2018-06-01" @default.
- W2801511296 modified "2023-10-16" @default.
- W2801511296 title "Text to Emotion Extraction Using Supervised Machine Learning Techniques" @default.
- W2801511296 doi "https://doi.org/10.12928/telkomnika.v16i3.8387" @default.
- W2801511296 hasPublicationYear "2018" @default.
- W2801511296 type Work @default.
- W2801511296 sameAs 2801511296 @default.
- W2801511296 citedByCount "5" @default.
- W2801511296 countsByYear W28015112962019 @default.
- W2801511296 countsByYear W28015112962020 @default.
- W2801511296 countsByYear W28015112962021 @default.
- W2801511296 countsByYear W28015112962022 @default.
- W2801511296 crossrefType "journal-article" @default.
- W2801511296 hasAuthorship W2801511296A5066410729 @default.
- W2801511296 hasAuthorship W2801511296A5081434714 @default.
- W2801511296 hasBestOaLocation W28015112961 @default.
- W2801511296 hasConcept C119857082 @default.
- W2801511296 hasConcept C154945302 @default.
- W2801511296 hasConcept C185592680 @default.
- W2801511296 hasConcept C204321447 @default.
- W2801511296 hasConcept C2777438025 @default.
- W2801511296 hasConcept C28490314 @default.
- W2801511296 hasConcept C2988148770 @default.
- W2801511296 hasConcept C41008148 @default.
- W2801511296 hasConcept C43617362 @default.
- W2801511296 hasConcept C4725764 @default.
- W2801511296 hasConceptScore W2801511296C119857082 @default.
- W2801511296 hasConceptScore W2801511296C154945302 @default.
- W2801511296 hasConceptScore W2801511296C185592680 @default.
- W2801511296 hasConceptScore W2801511296C204321447 @default.
- W2801511296 hasConceptScore W2801511296C2777438025 @default.
- W2801511296 hasConceptScore W2801511296C28490314 @default.
- W2801511296 hasConceptScore W2801511296C2988148770 @default.
- W2801511296 hasConceptScore W2801511296C41008148 @default.
- W2801511296 hasConceptScore W2801511296C43617362 @default.
- W2801511296 hasConceptScore W2801511296C4725764 @default.
- W2801511296 hasIssue "3" @default.
- W2801511296 hasLocation W28015112961 @default.
- W2801511296 hasLocation W28015112962 @default.
- W2801511296 hasLocation W28015112963 @default.
- W2801511296 hasOpenAccess W2801511296 @default.
- W2801511296 hasPrimaryLocation W28015112961 @default.
- W2801511296 hasRelatedWork W1974515990 @default.
- W2801511296 hasRelatedWork W2012919372 @default.
- W2801511296 hasRelatedWork W2572592660 @default.
- W2801511296 hasRelatedWork W2785763105 @default.
- W2801511296 hasRelatedWork W3042022268 @default.
- W2801511296 hasRelatedWork W3043413940 @default.
- W2801511296 hasRelatedWork W3199176154 @default.
- W2801511296 hasRelatedWork W3208850538 @default.
- W2801511296 hasRelatedWork W4296068813 @default.
- W2801511296 hasRelatedWork W4312266741 @default.
- W2801511296 hasVolume "16" @default.
- W2801511296 isParatext "false" @default.
- W2801511296 isRetracted "false" @default.
- W2801511296 magId "2801511296" @default.
- W2801511296 workType "article" @default.