NLTK

Complete Guide to Natural Language Processing (NLP) – with Practical Examples

Natural language processing (NLP) is the technique by which computers understand the human language. NLP allows you to perform a wide range of tasks such as classification, summarization, text-generation, translation and more. NLP has advanced so much in recent times that AI can write its own movie scripts, create poetry, summarize text and answer questions …

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101 NLP Exercises (using modern libraries)

I hope you found this useful. For more such posts, stay tuned to our page ! Desired Output : [{‘label’: ‘POSITIVE’, ‘score’: 0.9998570084571838}] [{‘label’: ‘NEGATIVE’, ‘score’: 0.9994378089904785}] I hope you found this useful. For more such posts, stay tuned to our page ! 59. How to classify a text as positive or negative sentiment with …

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Lemmatization Approaches with Examples in Python

Lemmatization is the process of converting a word to its base form. The difference between stemming and lemmatization is, lemmatization considers the context and converts the word to its meaningful base form, whereas stemming just removes the last few characters, often leading to incorrect meanings and spelling errors. Comparing Lemmatization Approaches in Python. Photo by …

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Machine Learning A-Z™: Hands-On Python & R In Data Science

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Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science

Machine Learning A-Z™: Hands-On Python & R In Data Science