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Using pre trained word embeddings (Fasttext, Word2Vec)
nlp word2vec classification gensim glove fair fasttext ai2 wordembedding wordembeddings glove-embeddings gensim-word2vec elmo-8 allennlp fasttext-python
Language detection using Spacy and Fasttext
This repository is a collection of six minor projects focused on Natural Language Processing (NLP) along with relevant datasets. The projects are designed to help individuals gain a better understanding of NLP by applying concepts to real-world problems. Additionally, the repository includes a file that provides a comprehensive overview of NLP .
tokenizer bag-of-words tf-idf regular-expressions gensim-word2vec spacy-nlp bag-of-ngrams gensim-doc2vec nltk-python fasttext-python
A Chinese news headline classification benchmark: 200K labeled samples across 10 categories. Covers 4 approaches — TF-IDF+RandomForest, FastText, BERT fine-tuning+int8 quantization, and knowledge distillation (BERT→TextCNN) — spanning classical ML to model compression, with Flask RESTful API.
Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks
nlp machine-learning word2vec word-embeddings fasttext w2v sentence2vec sentence-embeddings imdb-dataset fake-news-classification fasttext-python
Tools for working with fastText, an open-source library from the Facebook AI Research lab, in Python
Sentiment Analysis of Kaggle Yelp Reviews using FastText.
sentiment-analysis text-classification multiprocessing fasttext yelp-dataset fasttext-python fasttext-model
API that answers questions related to the University of Bonn.
elasticsearch knowledge-graph named-entity-recognition fuseki cosine-similarity python2 qatools fasttext-python
Theoretical and Implementation of different word embedding methods
Automatic paper clustering and search tool by fastext from Facebook Research
This is one of my fun projects. It's a review classifier based on Amazon's reviews dataset hosted on Kaggle. I used FastText and Deep Learning model LSTM to build it.
python review tutorial deep-learning amazon word2vec keras kaggle lstm rnn gensim fasttext word2vec-model lstm-neural-networks kaggle-dataset classifier-model fasttext-python fasttext-embeddings
Humor Detection App with Streamlit and fastText
nlp text-classification fasttext model-deployment fasttext-python streamlit fasttext-model streamlit-webapp
crawler aiml kakaotalk-bot skipgram chatscript-engine chatscript chatscript-syntax fasttext-python aiml-chatbot
Simplest text classification implemented with Facebook FastText library
Do some analysis based on main AI conferences
Player vs AI to reach the destination city. Enemy uses DFS algorithm to move. For each move will play games. The first game is using KNN algorithm to guess whether it will rain or not. The second game one will use word to vactor algorithm to guess the closest word. They can remove one city, bot(AI) will use A-star algorithm to remove a city.
Unsupervised sentiment analysis of Tweets (Machine Learning @ EPFL)
machine-learning deep-learning artificial-intelligence neural-networks image-registration glove-python fasttext-python bert-model
My ML and DL repo
coursera text-classification-python fasttext-python tags-classification-nn-keras spam-ham-python lstm-sentiment-classification basic-neural-network-python
Fake News Detection using fastText supervised learning
nlp text-classification pandas-dataframe python3 supervised-learning easy-to-use fasttext fasttext-python
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