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5. Text Analytics and NaturalLanguageProcessing (NLP) Projects: These projects involve analyzing unstructured text data, such as customer reviews, social media posts, emails, and news articles. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data.
Accordingly, there are many Python libraries which are open-source including Data Manipulation, Data Visualisation, Machine Learning, NaturalLanguageProcessing , Statistics and Mathematics. It is critical for knowing how to work with huge data sets efficiently.
R’s machine learning capabilities allow for model training, evaluation, and deployment. · Text Mining and NaturalLanguageProcessing (NLP): R offers packages such as tm, quanteda, and text2vec that facilitate text mining and NLP tasks.
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