How to Prepare Text for NLP and Data Analysis (Tutorial)

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  • Опубліковано 5 вер 2024
  • Do you need to prepare text for analysis, such as natural language programming (NLP)? If so, then learn tasks needed to clean and process your text for more accurate results.
    Text data attained from any source, including social media, needs preparation before analysis for topic modeling, colocation analysis, text summation, and so on. In this tutorial, I show how to perform many text cleaning and preparation tasks. The script I use in this tutorial may be found at garyeckstein.c... and the topics covered in the video are:
    1. Load CSV data using Pandas library (1:57)
    2. Lowercase all text (3:41)
    3. Remove whitespace from text (4:24)
    4. Tokenize words (4:47)
    5. Remove stopwords including custom stopwords (6:33)
    6. Remove punctuation from text (8:45)
    7. Lemmatize text using NLTK natural language programming (9:14)
    8. Convert list to string (10:23)
    9. Remove words that are three characters and less (10:39)
    10. Save dataframe as CSV file (11:21)
    ** PLEASE SUBSCRIBE / @garyeckstein **
    #nlp #datascience #python #tutorial #dataanalytics #nltk #data

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