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Windows: Type jupyter notebook in the search box located on the task bar. A browser window should open up. In the browser window, go to the location of the Jupyter Notebook file you downloaded and ...
Basic text-mining concepts (tokenising, normalising, cleaning, stopwords) Creating a frequency distribution and plotting the results; Workshop 2. Introduction to topic modelling (bag-of-words, TF-IDF) ...
Learn how to use Python to create effective visualizations and communicate your text mining insights. Choose, preprocess, and analyze your text data using various techniques.
For example, you may use Python, R, Java, or C# as your programming language, and NLTK, spaCy, scikit-learn, TensorFlow, PyTorch, or Gensim as your text mining libraries. Add your perspective ...
As the term suggests, it is to mine relevant information from the text document. The text document could be un-structured or semi-structured. There exist different approaches and methods for text ...
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