I have close to 50000 documents in plain text format.
Is there a way in which I can group similar documents together? Similarity mostly here is the content similarity.
Will transforming the text into a vector (using TFIDF) and running a K-Means (unsupervised learning) algorithm on top of that help? Are there any better approaches that could be used?