NLTK: 100 Essential Tips and Strategies for Text Analysis and Natural Language Processing

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NLTK (Natural Language Toolkit) is a powerful library for working with human language data. Here are 100 tips for working with NLTK:

1. Installation and Import:

1. Install NLTK with pip install nltk.
2. Import NLTK in your Python script or Jupyter Notebook with import nltk.

2. Data Download:

1. Download NLTK datasets with nltk.download().
2. Download specific datasets like stopwords with nltk.download('stopwords').
3. Access the NLTK data path with nltk.data.path.

3. Text Tokenization:

1. Tokenize sentences with nltk.sent_tokenize().
2. Tokenize words with nltk.word_tokenize().
3. Use nltk.wordpunct_tokenize() for a simpler word tokenizer.

4. Stopwords Removal:

1. Access NLTK’s list of English stopwords with nltk.corpus.stopwords.words('english').
2. Remove stopwords from text using a list comprehension.

5. Frequency Distribution:

1. Create a frequency distribution with…