ValueError: After pruning, no terms remain. Try a lower min_df or a higher max_df
<pre><code>from sklearn.feature_extraction.text import TfidfVectorizer
tfidf_vectorizer = TfidfVectorizer(max_df=0.95, max_features=200000,
                             min_df=.5, stop_words='english',
                             use_idf=True,sublinear_tf=True,tokenizer = tokenize_and_stem_body,ngram_range=(1,3))
tfidf_matrix_body = tfidf_vectorizer.fit_transform(totalvocab_stemmed_body)
</code></pre>

<p>The above code gives me the error </p>

<pre><code>ValueError: After pruning, no terms remain. Try a lower min_df or a higher max_df.
</code></pre>

<p>Can anyone help me out on the same and I have change all value 80 to 100 but issue remain same?</p>