Recent Blog Posts
Before AI, Invest in A Big Data Strategy
Big data describes the volumes of data that your company generates, every single day. Both structured and unstructured. Analysts at…
Word2Vec: A Comparison Between CBOW, SkipGram & SkipGramSI
Word2Vec is a widely used word representation technique that uses neural networks under the hood. The resulting word representation or…
HashingVectorizer vs. CountVectorizer
Previously, we learned how to use CountVectorizer for text processing. In place of CountVectorizer, you also have the option of…
Text Classification: Best Practices for Real World Applications
Most text classification examples that you see on the Web or in books focus on demonstrating techniques. This will help…
5 Ways to Improve Productivity in Customer Support with AI
Companies receive support inquiries from various channels. This may include emails, support tickets, tweets, chat conversations with customer support representatives…
10+ Examples for Using CountVectorizer
Scikit-learn’s CountVectorizer is used to transform a corpora of text to a vector of term / token counts. It also…
Reader’s Thoughts
I just read your article ‘All you need to know about text preprocessing for NLP and Machine Learning’ on KDnuggets and I have to say it is one the best, most comprehensive and well-explained articles I’ve ever encountered related to pre-processing.
I arrived at your profile after going through your articles.They are a treasure trove of knowledge and really help me understand many of the topics prevalent in the field and industry.
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Publications
Select publications
Multi-factor clustering for a marketplace search interface
Abstract Search engines provide a small window to the vast repository of data they index and against which they search. They try their best to…
Micropinion Generation: An Unsupervised Approach to Generating Ultra-Concise Summaries of Opinions
This paper presents a new unsupervised approach to generating ultra-concise summaries of opinions. We formulate the problem of generating such a micropinion summary as an…
Findilike: Preference Driven Entity Search
Traditional web search engines enable users to find documents based on topics. However, in finding entities such as restaurants, hotels and products, traditional search engines…
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