Pinned Repositories
bert-tweets-analysis
BERT Twitter sentiment analysis API
CNN-for-Twitter-Sentiment-Analysis
Used Convolutional Neural Network to perform a 3 class classification on the Tweet Data
Embeddings
A study on the ingenious concept of word2vec. The repository contains a detailed code of the CBOW and Skip-gram architectures.
gensim
Topic Modelling for Humans
german-sentiment
A data set and model for german sentiment classification.
learning-not-to-learn
[CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data
ParallelDots-Python-API
Python repository for ParallelDots API Wrapper
PotTS
The Potsdam Twitter Sentiment Corpus
python-project
Sentence-Similarity-Email-Communication
Sentence Similarity in Email Communication, Fixed Publication Link
Tafew's Repositories
Tafew/python-project
Tafew/bert-tweets-analysis
BERT Twitter sentiment analysis API
Tafew/CNN-for-Twitter-Sentiment-Analysis
Used Convolutional Neural Network to perform a 3 class classification on the Tweet Data
Tafew/Embeddings
A study on the ingenious concept of word2vec. The repository contains a detailed code of the CBOW and Skip-gram architectures.
Tafew/gensim
Topic Modelling for Humans
Tafew/german-sentiment
A data set and model for german sentiment classification.
Tafew/learning-not-to-learn
[CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data
Tafew/ParallelDots-Python-API
Python repository for ParallelDots API Wrapper
Tafew/PotTS
The Potsdam Twitter Sentiment Corpus
Tafew/Sentence-Similarity-Email-Communication
Sentence Similarity in Email Communication, Fixed Publication Link
Tafew/Sentiment_Analysis_with_Deep_Learning_using_BERT
Sentiment Analysis with Deep Learning using BERT project is designed to recognize sentiments in text through Natural language processing using pre-trained BERT transformer.
Tafew/Stacked-LSTM-for-Covid-19-Outbreak-Prediction
Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China, and has since spread globally, resulting in an ongoing pandemic. Long Short Term Memories(LSTMs) can solve numerous tasks not solvable by previous learning algorithms for recurrent neural networks (RNNs). LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition and anomaly detection in network traffic or IDS's (intrusion detection systems). LSTMs can also be efficiently applied for time-series predictions. In this project, its shows a four stacked LSTM network for early prediction new Coronavirus dissease infections in some of the mentioned affected countries (India, USA, Czech Republic and Russia) , which is based on real world data sets which are analyzed using various perspectives like day-wise number of confirmed cases, number of Cured cases, death cases. This attempt has been done to help the concerned authorities to get some early insights into the probable devastation likely to be effected by the deadly pandemic.
Tafew/tigertoolbox
Toolbox repository for Tiger team
Tafew/twista
Twitter streaming and analysis