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Natural Language Processing (NLP) with Use Cases

Implementation of NLP use cases in various scenarios

Use Cases

0. Word2Vec

Word2Vec Implementation in

  • Java (DeepLearning4J) - Training of word2vec skip-gram model on hotel industry corpus
  • Python (Gensim) - Visualization of word vectors trained with Glove

1. Spam Mail Filtering

Implementation of spam mail filtering with DeepLearning4J
Medium Link: here

2. News Group Classification

Serving of classification model with konduit-serving The model trained with 20 classes of news types.
Implementation in

  • Tensorflow 2.0
  • HuggingFace Bert Embeddings with Keras Model

3. Review Analysis

The use case of sentiment analysis of airlines reviews trained and served with docker on Digital Ocean.
Implementation with

  • Training: Scikit-learn Random Forest
  • Deployment: Docker & Digital Ocean

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Implementation of NLP use cases in various scenarios

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