Quick Success Data Science
Learn about graphical text analysis with NLTK
that much Natural Language Toolkit (NLTK) An interesting feature called is provided. dispersion You can post the location of a word in the text. More specifically, it displays the number of words at the beginning of the corpus and the number of occurrences of the words.
Below is an example of a distributed plot for the main character of a Sherlock Holmes novel. Hound of the Baskervilles:
Blue vertical tick marks indicate the location of the target word in the text. Each row covers the corpus from beginning to end.
if you are familiar with Hound of the Baskervilles — and I won’t spoil it for you — and you’ll appreciate the rare appearances of Holmes in the middle, Mortimer’s late return, and the overlap of Barrymore, Selden, and the Hound.
Scatter plots have more practical applications. For example, imagine you are a data scientist working with a paralegal handling a criminal case involving insider trading. To determine whether the defendant contacted a board member immediately before the illegal transaction, you can load the defendant’s subpoenaed emails as a continuous string and generate a scatter plot to check the juxtaposition of names.
Social scientists study linguistic trends related to specific topics by analyzing variance. By tracking the occurrence of terms like “climate change” or “gun control” in news articles, you can gain insight into priorities that are important to society during a specific time period.
Therefore Quick Success Data Science Let’s write the generated Python code for our project. Hound of the Baskervilles Scatter plot shown previously.
We will use a copy of the novel stored in this Gist. It came from the beginning Project Gutenberg, an excellent source of public domain literature. Removed as recommended for natural language processing…