Topic: "subjectivity-analysis"
declare-lab/awesome-sentiment-analysis
Reading list for Awesome Sentiment Analysis papers
Size: 3.47 MB - Last synced at: 14 days ago - Pushed at: about 2 years ago - Stars: 526 - Forks: 95

mesolitica/malaya
Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/
Language: Jupyter Notebook - Size: 115 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 488 - Forks: 126

seinecle/umibench
Testbench for sentiment and factuality in texts.
Language: Roff - Size: 28.3 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Ritika2001/Word-Embedding-Models-for-Subjectivity-Analysis
An Empirical Evaluation of Word Embedding Models for Subjectivity Analysis Tasks
Language: Python - Size: 41 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

CZboop/Newspaper-Topic-Modelling
Topic modelling and analysis of different UK newspapers, primarily using BERTopic
Language: Python - Size: 17.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

KevinDepedri/Sentiment-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)
Language: Jupyter Notebook - Size: 4.73 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

oakhamis/Web_Social_Media_Analysis
Exploring the 2021 AAPI movement using Twitter and news data.
Language: Python - Size: 16.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

pauli31/czech-subjectivity-dataset
This is the repository for the newly created Czech Subjectivity Dataset (Subj-CS) and our paper:
Size: 12.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

letMarchezi/iniciacao-cientifica
Classificação automática de textos informativos e opinativos no Twitter
Language: Jupyter Notebook - Size: 169 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

angelainfanta1312/HateSpeechDetection
Language: Jupyter Notebook - Size: 41 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

MIND-Lab/MVSC
Multi-View Sentiment Corpus (EACL 2017): tweets labelled by three annotators with sentiment, emotion, irony, subjectivity and implicitness
Size: 234 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ActuallySam/Twitter-Sentiment-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
Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

AaronWard/MPP-capstone
A repo for the MPP AI capstone project
Language: Jupyter Notebook - Size: 229 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

AmmarRashed/SubjNet
Analyzing subjectivity in social networks
Language: Jupyter Notebook - Size: 59.1 MB - Last synced at: 6 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
