[PDF] Top 20 Exploring Fine Grained Emotion Detection in Tweets
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Exploring Fine Grained Emotion Detection in Tweets
... We ran a series of experiments to identify a set of machine learning algorithms that generally per- form well for this task. Four machine learning al- gorithms were found to perform well in this prob- lem space: support ... See full document
8
Fine Grained Propaganda Detection with Fine Tuned BERT
... and fine-tunes it for the purpose of the FLC ...the fine grained information available through the ...by exploring the internals of the fine-tuned BERT ... See full document
5
Creating a Dataset for Multilingual Fine grained Emotion detection Using Gamification based Annotation
... and emotion detection is a cru- cial component in many practical applications but also defines a great challenge in natural language processing and artificial ...cally fine-grained and fuzzy ... See full document
7
The Challenges of Multi dimensional Sentiment Analysis Across Languages
... more fine-grained classifi- cations with eight distinct dimensions of emotion in addition to the classical sentiments of positive and negative ...Detecting fine-grained sentiment is ... See full document
5
Neural Architectures for Fine Grained Propaganda Detection in News
... Contributions: (1) To address SLC, we de- sign an ensemble of different classifiers based on Logistic Regression, CNN and BERT, and lever- age transfer learning benefits using the pre-trained embeddings/models from ... See full document
6
Exploring Fine Tuned Embeddings that Model Intensifiers for Emotion Analysis
... state-of-the-art emotion classification and intensity prediction systems which use pre- dominantly non-contextualized word embed- dings as ...of emotion words need special treatment, as is established for ... See full document
10
EmoTweet 28: A Fine Grained Emotion Corpus for Sentiment Analysis
... of emotion to be annotated were presented as a series of ...For emotion tag, workers were given a set of 28 emotion categories to choose from plus an “other” option with a text box so they were ... See full document
8
EmoNet: Fine Grained Emotion Detection with Gated Recurrent Neural Networks
... of fine-grained emo- tions using Twitter ...labeled emotion dataset that we then exploit using distant supervi- sion (Mintz et ...annotator-generated emotion labels) to build emotion ... See full document
11
Korean Twitter Emotion Classification Using Automatically Built Emotion Lexicons and Fine-Grained Features
... in tweets. Going further, re- searchers are currently trying to analyze fine-grained emotions beyond ...polarity. Fine-grained emotion analysis is known to be more challenging ... See full document
9
A Topic Model for Building Fine grained Domain specific Emotion Lexicon
... for emotion lexi- con construction are limited to positive and nega- tive ...the fine-grained emotion of words (Strapparava and Mihalcea, 2007; Gill et ... See full document
6
Segment based Fine grained Emotion Detection for Chinese Text
... basic emotion tags and any of the three intensities: low, medi- um and ...heterogeneous emotion-annotated dataset which combines news headlines, fairy tales and ...multi-class emotion ... See full document
9
Fine Grained Emotion Recognition in Olympic Tweets Based on Human Computation
... where emotion states are described as points in space ...where emotion state is described in terms of discrete set of emotion ...used emotion categories sets GEW categories are the most ... See full document
9
On fine-grained geolocalisation of tweets and real-time traffic incident detection
... of tweets has become important for a wide range of real-time applications, including real-time event detection, topic detection or disaster and emergency ...geotagged tweets available to ... See full document
25
Experimenting with Distant Supervision for Emotion Classification
... The remaining emotion classes, however, show poor performance for both labelling conventions. The observed low precision and high recall can be adjusted using classifier parameters, but F-scores are not improved. ... See full document
10
Bootstrapped Learning of Emotion Hashtags #hashtags4you
... in tweets are often very ...of emotion hashtags manu- ally. While emotion word lexicons exist (Yang et ...of emotion hashtags, it would be un- likely to find multi-word phrases or stylistic ... See full document
10
Hands-on: deformable pose and motion models for spatiotemporal localization of fine-grained dyadic interactions
... 3.1.0.3 Two-person interaction As there are two per- sons involved in a dyadic interaction, we combine their body parts in the same graph (see Fig. 3). Each actor’s body parts form a sub-tree in this (2 K + 1)-node ... See full document
16
Findings of the NLP4IF 2019 Shared Task on Fine Grained Propaganda Detection
... Team newspeak (Yoosuf and Yang, 2019) achieved the best results on the test set for the FLC task using 20-way word-level classification based on BERT (Devlin et al., 2019): a word could be- long to one of the 18 ... See full document
9
Unidirectional Solidification Textures In Pegmatitic- Aplite Dykes In South Wadi Rimarim, South Eastern Desert, Egypt
... in fine grained granitic matrix occur as alternations of individual layered sequence each of thicknesses of 3–8 ...coarse- grained unit occur instead, where evidently ...the ... See full document
14
Deformation mechanisms in mafic amphibolites and granulites: record from the Semail metamorphic sole during subduction infancy
... commodated in the dissolution–precipitation creep regime including heterogeneous nucleation of fine-grained materi- als and the activation of grain boundary sliding processes. This deformation mechanism is ... See full document
23
Mafic hosted zinc mineralisation, High Point, western Tasmania
... The fine grained sphalerite, pyrite and galena at High Point is similar to featureless fine-grained pyrite-sphalerite-galena and/or chalcopyrite tensional veins from Hellyer Section 2.5.[r] ... See full document
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