ML with Python : Zero to Hero | Video 11 | NLP and Text Mining Concepts | Venkat Reddy AI Classes

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Dive into the fascinating world of Natural Language Processing (NLP) and text mining with this comprehensive tutorial. We'll start with an introduction to essential NLP concepts, including the construction and utilization of a corpus for text analysis. Learn how to prepare text data for analysis using powerful tools like the NLTK and SciPy packages.
We'll guide you through crucial pre-processing steps such as tokenization, stemming, lemmatization, and stopword removal to ensure your data is clean and ready for insightful analysis.
Discover the creation of visually appealing word clouds to represent the frequency of words in your text data. Understand how to build a Document-Term Matrix (DTM), which is pivotal for various text mining and machine learning tasks.
This tutorial provides a step-by-step approach to transforming raw text into structured data, enabling deeper insights and more accurate predictions. Ideal for data scientists, machine learning enthusiasts, and anyone interested in NLP, this video will equip you with the skills to tackle text data challenges effectively.
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How do you get ai to produce stemming and lemmatization optimized content

[@VenkataReddyAIClasses]

We can only use pre-built lemmation models like WordNet, Gensim, StanfordcoreNLP and Spacy

[@Digitalcataloghub]

@@VenkataReddyAIClasses can these tools do both stemming and lemmatization and can they be integrated with ChatGPT

[@Digitalcataloghub]

@@VenkataReddyAIClasses which is the best between these and so they integrate to ChatGPT