Natural Language Processing (NLP) in Python with 8 Projects

Natural Language Processing (NLP) in Python with 8 Projects, Work on 8 Projects, Learn Natural Language Processing Python, Machine Learning, Deep Learning, SpaCy, NLTK, Sklearn, CNN

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Created by Ankit Mistry

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What you'll learn

• The Complete understanding of Natural Language Processing
• Implement NLP related task with Scikit-learn, NLTK and SpaCy
• Apply Machine Learning Model to Classify Text Data
• Text Classification (Spam Detection, Amazon product Review Classification)
• Text Summarization (Turn 5000 word article into 200 Words)
• Calculate Sentiment Score from Recently Posted Tweet (Tweeter API)
• Refresh your Deep Learning Concepts (ANN, CNN & RNN)
• Build your own Word Embedding (Word2vec) Model with Keras
• Word Embeddings application with Google Pretrained Model
• Spam Message Detection with Neural Network Based CNN and RNN Model
• Automatic Text Generation using TensorFlow, Keras and LSTM
• Working with Text Files & PDF in Python (PyPDF2 module)
• Tokenization, Stemming and Lemmatization
• Stop Words, Parts of Speech (POS) Tagging with NLTK
• Vocabulary, Matching, Named Entity Recognition (NER)
• Data Analysis with Numpy and Pandas
• Data Visualization with Matplotlib library