A set of algorithms to build resources through lexicon generation for resource scarce languages.
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Updated
Jan 3, 2021 - Jupyter Notebook
#
hindi-sentiment-analysis
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This project showcases a dataset of Amazon Reviews in Hindi, which we created ourselves. We applied various machine learning methods including Naive Bayes, SVM, and Decision Tree, using both Bag-of-Words and TF-IDF. Additionally, we experimented with deep learning techniques such as Feedforward Neural Networks and LSTM with ELMO embeddings.
machine-learning
svm
naive-bayes-classifier
logistic-regression
feedforward-neural-network
tf-idf
lstm-neural-networks
multi-class-classification
iiith
hindi-sentiment-analysis
decission-tree-classifier
amazon-hindi-reviews
niave
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Updated
May 9, 2024 - Jupyter Notebook
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