Topic: subjectivity-analysis Goto Github
Some thing interesting about subjectivity-analysis
Some thing interesting about subjectivity-analysis
subjectivity-analysis,This Twitter Sentiment Analyzer helps detect the Positive and the Negative Tweets by classifying the data, analysing the sentiments of the words that are commonly used and labelling them as positive and negative words. The Bag of Words (BoW) was used to detect Racist/Hate Speech from a training dataset extracted from Twitter API
User: actuallysam
subjectivity-analysis,Analyzing subjectivity in social networks
User: ammarrashed
subjectivity-analysis,
User: angelainfanta1312
subjectivity-analysis,Code and data for EMNLP2021 paper: WIKIBIAS: Detecting Multi-Span Subjective Biases in Language
User: cs329yangzhong
Home Page: https://aclanthology.org/2021.findings-emnlp.155/
subjectivity-analysis,Topic modelling and analysis of different UK newspapers, primarily using BERTopic
User: czboop
Home Page: https://czboop.github.io/Newspaper-Topic-Modelling/
subjectivity-analysis,Reading list for Awesome Sentiment Analysis papers
Organization: declare-lab
subjectivity-analysis,Subjectivity removal and Polarity classification of movie reviews employing a shallow model (Multinomial Naive Bayes) and a deep model (Bidirectional LSTM with self-attention)
User: kevindepedri
subjectivity-analysis, Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/
Organization: mesolitica
subjectivity-analysis,Multi-View Sentiment Corpus (EACL 2017): tweets labelled by three annotators with sentiment, emotion, irony, subjectivity and implicitness
Organization: mind-lab
subjectivity-analysis,Exploring the 2021 AAPI movement using Twitter and news data.
User: oakhamis
subjectivity-analysis,This is the repository for the newly created Czech Subjectivity Dataset (Subj-CS) and our paper:
User: pauli31
subjectivity-analysis,An Empirical Evaluation of Word Embedding Models for Subjectivity Analysis Tasks
User: ritika2001
subjectivity-analysis,Testbench for sentiment and factuality in texts.
User: seinecle
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