import nltk, pandas, numpy, sklearn, tensorflow, gensim
print("Libraries OK")

nltk.download('punkt')
nltk.download('stopwords')
nltk.download(&#39;averaged_perceptron_tagger&#39;)
nltk.download(&#39;maxent_ne_chunker&#39;)
nltk.download(&#39;words&#39;)
nltk.download(&#39;wordnet&#39;)
