A Quick Introduction to Semantic Clustering for Large Texts

Author(s): Yash Prakash

Originally published on Towards AI.

Group together documents with similar meaning in a large corpus easily.

Photo by Melissa Askew on Unsplash

Many times, a simple Natural Language Processing task such as grouping together a large collection of sentences can seem daunting. There are multiple roadblocks that can occur and multiple technical hurdles that can be associated with such data.

Our local machine’s GPU might not be capable enough for the processing power we need for running a traditional clustering algorithm. We might similarly, run out of memory while even encoding a large corpus of data(100k+ sentences, for example).

There are also numerous state of the art models present that perform better when used with transfer learning for a… Read the full blog for free on Medium.

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Published via Towards AI