Step 1: Remove trailing emoji Step 2: Join negation words with their next word Step 3: Remove stopwords Step 4: Remove short words Step 5: Lemmatize...
[1] Generate Ngrams from itertools import islice def generate_ngrams(text, ngram_size=(2, 2), min_word_size=3, return_tuple=True): """ ...
import re from nltk.corpus import stopwords # Ensure NLTK stopwords are downloaded import nltk nltk.download('stopwords') def clean_text(text,...
[1] Sequential Approach The sequential approach to topic modeling involves executing tasks one after the other, without parallel processing. In the...
1. Use Set Lookup for Stopwords Ensure that set_CustomStopWord is a set (not a list) because lookups in sets are O(1) on average, while lookups in...
[1] Ubuntu Linux # Create the asset folder if it doesn't exist !mkdir -p asset # Download the file !wget -O razzi_util_20250206.zip...
