About: VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text

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scholarly article by C.J. Hutto & Eric Gilbert published 2014 in Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media

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rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття (uk) scholarly article by C.J. Hutto & Eric Gilbert published 2014 in Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media (en)
publication date	wds:Q98645215-61a5ca3e-47ca-861c-96de-d30a0ac17cef
publication date	2014-01-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q98645215-1b3b75aa-4c1b-18ed-69c5-21f9b3649c79
language of work or name	English
cites work	wds:Q98645215-55004d6c-4ce2-95a9-0d35-d63bfdefa1bb wds:Q98645215-9331c0f0-4e6f-64fd-7031-f79dc8727c58 wds:Q98645215-d14a2cb1-4c3a-ea79-7a12-6e21c48159af
cites work	A New ANEW: Evaluation of a Word List for Sentiment Analysis in Microblogs WordNet: An Electronic Lexical Database Pattern for Python
author name string	wds:Q98645215-889c0cec-485b-0c68-3880-4bbce6085443 wds:Q98645215-df280b71-4eff-de49-fcad-c42414a20d71
author name string	Eric Gilbert C.J. Hutto
rdfs:label	VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text (da) VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text (en) VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text (nl)
skos:prefLabel	VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text (da) VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text (en) VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text (nl)
name	VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text (da) VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text (en) VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text (nl)
title	wds:Q98645215-a7ac56f7-4b18-e55a-caa5-63eba7b230aa
title	VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text (en)
page(s)	wds:Q98645215-1bb5ecd0-4de6-7b47-ee10-a62fe2a6b7f9
page(s)	216-225
instance of	wds:Q98645215-0dadd46b-4f71-10d8-c627-a7a4144c09ef
instance of	scholarly article
main subject	wds:Q98645215-2d78af93-420b-c59a-49d8-d0fafcd97881 wds:Q98645215-31af2a56-4c1c-fbc5-7c80-034d24b2bde7
main subject	sentiment analysis social media
published in	wds:Q98645215-b2a00027-4a90-8b3f-bf7b-a8bbe8d417b6
full work available at URL	wds:Q98645215-a86a1273-4eb0-86d7-9e3a-602b646328ec
published in	Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media
full work available at URL	https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8109/8122
number of pages	wds:Q98645215-99b745c6-457b-50c9-1d8c-c33be8035e3c
number of pages	10 (xsd:decimal)
official website	wds:Q98645215-343fd61f-4611-5b24-56dd-8efee1951e18
official website	https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8109
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q98645215
is cites work of	SENTIDA: A New Tool for Sentiment Analysis in Danish MULTILINGUAL SENTIMENT NORMALIZATION FOR SCANDINAVIAN LANGUAGES A Computational Exploration of Exaggeration Automated Sentiment Analysis of Text Data with NLTK Images, Emotions, and Credibility: Effect of Emotional Facial Images on Perceptions of News Content Bias and Source Credibility in Social Media What are they trying to tell me? Large-scale viability of the Start, Stop, Continue teaching evaluation method
is cites work of	wds:Q110499226-1bd34fea-4f14-0721-b795-e1760660ee83 wds:Q67272735-7e541633-4ab4-7adf-ff6d-afbed5870c16 wds:Q108040076-e2660bb6-493b-e6de-258c-ccc8230ad113 wds:Q105737639-70e28b4b-435c-6b0c-4246-29a478f316ae wds:Q98645051-07fd5354-45cb-7b04-30c4-a3740d880f4f wds:Q108940863-350a986e-431c-9adf-53de-a98830d1c41a

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