Sentiment Analysis for Indian Languages
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Updated
Oct 17, 2019 - Python
Sentiment Analysis for Indian Languages
Pre-trained word vectors of 30+ languages
Sentiment analysis using BERT on Hindi-English code-mixed data
The main aim of the project is to develop a sentiment analyzer that can be used on twitter data to classify it as positive or negative. Our project takes care of the challenge of bilingual comments, where people tweet in two languages, in this case Hindi and English, in the Latin Alphabet.
Efficient and easy to use transliteration for Indian languages
WordPress Hindi to Latin Slug Converter By Dilip Soni. Automatic Convert All Hindi Slug In Latin (Hinglish).
Corpus and a baseline neural network system for Named Entity Recognition in Hindi-English Code-Mixed social media text.
CodeSwitch is a NLP tool, can use for language identification, pos tagging, name entity recognition, sentiment analysis of code mixed data.
Transliteration model that converts Hindi text into English using a sequence-to-sequence deep learning model.
transliterate hindi to english
302-Person-Hindi-and-English-Bilingual-Spontaneous-Monologue-smartphone-speech-dataset
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