[PDF] Top 20 Sentence level Emotion Classification with Label and Context Dependence
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Sentence level Emotion Classification with Label and Context Dependence
... tion classification, sentence-level emotion classi- fication is prone to the data sparseness problem because a sentence normally contains much less ...a sentence, it is often ... See full document
9
Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi Genre Corpus
... of sentence-level emotion classification encom- pass a variety of applications such as modeling of hu- man behaviors (Dodds and Danforth, 2010) and situational awareness in the event of ... See full document
6
A Soft Label Strategy for Target Level Sentiment Classification
... take context- aware representations into account, it still per- forms better than AE-LSTM and ATAE-LSTM ...the context word representations and evaluating the correlation with targets to de- cide which ... See full document
10
Modelling the interplay of metaphor and emotion through multitask learning
... word- level sequence labelling task, the outputs of the last Transformer layer are fed to the classification ...the sentence-level tasks, an additional attention module is again used to ... See full document
12
Labeling Emotion in Bengali Blog Corpus – A Fine Grained Tagging at Sentence Level
... mixed emotion tagss along with 7087 neutral sen- tences in ...word level emotion classification on a small set of the whole corpus yielded satisfac- tory ... See full document
9
Identifying Emotional Expressions, Intensities and Sentence Level Emotion Tags Using a Supervised Framework
... The emotion and intensity tagging is done at sentence ...to label any of the six emotion tags to a single word or a sequence of words in a ...sentential emotion and intensity tagging to ... See full document
10
Enhanced Weight Based Convolutional Neural Network (EWCNN) and Fuzzy Clustering For Semantically Rich Multi Label Social Emotion Classification
... the sentence representation to pay more attention to general sentiment words like good but less attention to the other sentiment- ambiguous words such as shock that are also integral to emotion ... See full document
10
ntuer at SemEval 2019 Task 3: Emotion Classification with Word and Sentence Representations in RCNN
... and sentence embeddings after the in- vention of Word2Vec (Mikolov et ...sentiment classification model and distant training (Go et ...incorporate context informa- tion and solve the polysemy issues ... See full document
5
Context aware Learning for Sentence level Sentiment Analysis with Posterior Regularization
... a sentence-level senti- ment classification method that can (1) incorporate rich discourse information at both local and global levels; (2) encode discourse knowledge as soft constraints during ... See full document
11
EmotiBlog: A Finer Grained and More Precise Learning of Subjectivity Expression Models
... sentiment classification considering rating scales (Pang and Lee, 2002), supervised and unsupervised methods (Chaovalit and Zhou, 2005) and semisupervised learning (Goldberg and Zhou, ...in classification ... See full document
10
Improved Sentence Level Arabic Dialect Classification
... Their classification task deals with several languages, and it becomes more difficult as the number of languages ...multiclass classification approach similar to the one presented in this paper which ... See full document
10
Improving Multi label Emotion Classification by Integrating both General and Domain specific Knowledge
... After Twitter-specific annotation using a prepro- cessing tool, some input words are annotated and stand out conspicuously. In this step, we iden- tify informative token patterns for emotion clas- sification. A ... See full document
6
Towards Annotating and Creating Summary Highlights at Sub sentence Level
... document level information such as original sentence place- ment and document ...ment sentence as a data instance, and introduce a neural model to predict (i) a binary sentence level ... See full document
6
MEKA: A Multi-label/Multi-target Extension to WEKA
... class label. The multi-label context is receiving a lot of attention and is relevant to a wide variety of domains, including text, music, images and video, and bioinformatics; as reviewed by ... See full document
5
Multi-label classification of music by emotion
... account label correlations and may fail to accurately predict label combinations or rank labels according to relevance with a new ...Meta) level of binary models (one for each label) that ... See full document
9
Multi label Categorization of Accounts of Sexism using a Neural Framework
... While sexism is detected as a category of hate in some of the hate speech classification work (Bad- jatiya et al., 2017; Waseem and Hovy, 2016), it does not perform sexism classification. Except the work on ... See full document
11
Emotion Classification in Arabic Poetry using Machine Learning
... an emotion classification point of view than do other domains such as movie reviews, blog posts and news’ ...display emotion explicitly, but rather, through complex, convolved ...to ... See full document
6
HedgeHunter: A System for Hedge Detection and Uncertainty Classification
... generate sentence level features based on the num- ber of hedge cues, the identity of hedge cues, and a Bag-of-Words feature vector to train a logistic regression classifier for sentence level ... See full document
6
Automatic Prediction of Evidence based Recommendations via Sentence level Polarity Classification
... We use the Change Phrases features proposed by Niu et al. (2005). The intuition behind this fea- ture set is that the polarity of an outcome is often determined by how a change happens: if a bad thing (e.g., mortality) ... See full document
7
Bilingual Word Embeddings from Parallel and Non parallel Corpora for Cross Language Text Classification
... the classification experi- ments, 1000 labeled documents from source lan- guage are selected to train a multi-class classifier using averaged perceptron (Freund and Schapire, 1999; Collins, 2002) and 5000 ... See full document
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