NLP Hands On

 

Natural Language Processing (NLP) Hands On

  1. Advanced Spam SMS Detection: Go beyond your previous project by using more advanced techniques like word embeddings (Word2Vec, GloVe) and a recurrent neural network to improve accuracy.

  2. Sentiment Analysis of Movie Reviews: Use a dataset of movie reviews to build a model that can determine if a review is positive or negative.

  3. Text Summarization: Create a model that can take a long article and generate a shorter, concise summary. Start with an extractive method (picking key sentences) before moving to an abstractive one (generating new sentences).

  4. Chatbot Development: Build a simple chatbot that can respond to user queries. You can start with a rule-based system and then move towards a sequence-to-sequence model.

  5. Named Entity Recognition (NER): Develop a model that can identify and classify named entities (like names, organizations, and locations) in a block of text.

  6. Language Translation: Create a basic machine translation model to translate short phrases from one language to another. This is a great way to understand sequence-to-sequence models.

  7. Topic Modeling: Use techniques like Latent Dirichlet Allocation (LDA) to discover the underlying topics in a large collection of documents, like news articles or forum posts.

  8. Text-Based Recommendation System: Build a system that recommends articles or products based on the user's previously read or purchased items by analyzing the text content.

  9. Speech-to-Text with a Simple Model: Use a library like SpeechRecognition to convert spoken words into text.

  10. Keyword Extractor: Build an algorithm that can automatically identify the most important keywords from a document or article

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