Topic: bi-lstm-model Goto Github
Some thing interesting about bi-lstm-model
Some thing interesting about bi-lstm-model
bi-lstm-model,Dependency parsing was used to extract relevant information from a review in order to predict the sentiment of a given aspect term. Different machine learning models such as NaΓ―ve Bayes, Logistic Regression, Support Vector Classifier and Neural Networks were used to make predictions. A maximum accuracy score of 0.74 on the test dataset was achieved using Bidirectional LSTM model.
User: ankita1112
bi-lstm-model,Disaster information extraction using named entity recognition, we have incorporated a machine learning model which predicts entites in a given iput.
User: dozerex-creationz
bi-lstm-model,Data Science Project (Australian Electricity Load Dataset Analysis)
User: fredick-nc
bi-lstm-model,Apply RNN for sentiment analysis.
User: janerjzou
bi-lstm-model,Experiments from NER task in Spanish language using CoNLL-2002 and Mexican news datasets
User: orlandxrf
bi-lstm-model,π¦ A framework that leverages machine translation and the BERT model for performing multi-lingual sentiment polarity detection of COVID-19 tweets posted in Hindi language on Twitter.
User: purvasingh96
bi-lstm-model,Trained over 2,000 BBC News to categorize unseen articles into 5 categories namely Sport, Tech, Business, Entertainment and Politics.
User: safwanshamsir99
bi-lstm-model,Trained over 60,000 IMDB rating to categorize positive and negative review
User: safwanshamsir99
bi-lstm-model,This repo contains the code for summarizing financial reports with increased factual correctness for quantitative researchers.
Organization: stockgram
bi-lstm-model,A deep learning project for classifying news articles as real or fake using a Bidirectional LSTM model. It includes steps for preprocessing text data, building and training the model, and evaluating its performance.
User: yaminibhole
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