words about stuff
I have blogged about the wide usefulness of topic models and I have benchmarked word-embedding-assisted classification on Reuter’s benchmark. This time I experiment with these ideas using a real world and decent sized dataset - the graph of UK/Irish …
In the previous post I talked about usefulness of topic models for non-NLP tasks, it’s back to NLP-land this time. I decided to investigate if word embeddings can help in a classic NLP problem - text categorization. Full code used to generate numbers and …
If you’re not primarily working with NLP you may not have been paying attention to topic modeling and word embeddings. In this post I intend to convince you that you should. ###Topic models Topic models are a set of models in NLP that discover common …