Сезімнің қарқындылығы

task ID: sentimentintensity

Related Papers

ECNU at SemEval-2016 Task 7: An Enhanced Supervised Learning Method for Lexicon Sentiment Intensity Ranking

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

This paper describes our system submissions to task 7 in SemEval 2016, i.e., Determining Sentiment Intensity. We participated the first two subtasks in English, which are to predict the sentiment …...

22506

UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

We present a novel method for determining sentiment intensity. The main goal is to as- sign a phrase a score from 0 to 1 which indi- cates the strength of …...

22508

CrystalFeel at SemEval-2018 Task 1: Understanding and Detecting Emotion Intensity using Affective Lexicons

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractWhile sentiment and emotion analysis has received a considerable amount of research attention, the notion of understanding and detecting the intensity of emotions is relatively less explored. This paper describes …...

26091

INGEOTEC at SemEval-2018 Task 1: EvoMSA and μTC for Sentiment Analysis

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractThis paper describes our participation in Affective Tweets task for emotional intensity and sentiment intensity subtasks for English, Spanish, and Arabic languages. We used two approaches, μTC and EvoMSA. The …...

26101

RIDDL at SemEval-2018 Task 1: Rage Intensity Detection with Deep Learning

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractWe present our methods and results for affect analysis in Twitter developed as a part of SemEval-2018 Task 1, where the sub-tasks involve predicting the intensity of emotion, the intensity …...

26068