import sys # !{sys.executable} -m spacy download en import re, numpy as np, pandas as pd from pprint import pprint # Gensim import gensim, spacy, logging, warnings import gensim.corpora as corpora from gensim.utils import lemmatize, simple_preprocess from gensim.models import CoherenceModel import matplotlib.pyplot as plt # NLTK Stop words from nltk.corpus import stopwords stop_words = stopwords.words('english') stop_words.extend(['from', 'subject', 're', 'edu', 'use', 'not', 'would', 'say', 'could', '_', 'be', 'know', 'good', 'go', 'get', 'do', 'done', 'try', 'many', 'some', 'nice', 'thank', 'think', 'see', 'rather', 'easy', 'easily', 'lot', 'lack', 'make', 'want', 'seem', 'run', 'need', 'even', 'right', 'line', 'even', 'also', 'may', 'take', 'come']) %matplotlib inline warnings.filterwarnings("ignore",category=DeprecationWarning) logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.ERROR)
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