Topic: "word-level-language-model"
aparnadutta/code-mixed-lid
Word-level language identification for Bangla-English code-mixed social media data, using a BiLSTM with subword embeddings.
Language: Python - Size: 190 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0
MUHAMMADAKMAL137/IMDB-Dataset-Classification-using-Pre-trained-Word-Embedding-with-GloVec-6B
In this project, I worked with a small corpus consisting of simple sentences. I tokenized the words using n-grams from the NLTK library and performed word-level and character-level one-hot encoding. Additionally, I utilized the Keras Tokenizer to tokenize the sentences and implemented word embedding using the Embedding layer. For sentiment analysis
Language: Jupyter Notebook - Size: 75.2 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
