Recent Blog Posts
5 Examples of Text Classification in Practice
AI is transforming nearly every industry, and text analysis is a key area of interest. That’s because there’s been an…
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…
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.
I came across your blog and git account while reading online on sentiment analysis. I really liked the resources that you have shared and I wanted to thank you for these because I am doing my first Sentiment Analysis project by referring to these.
Publications
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Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions
The Opinosis Summarization framework focuses on generating very short abstractive summaries from large amounts of text. These summaries can resemble micropinions or “micro-reviews” that you…
Mining tag clouds and emoticons behind community feedback
In this paper we describe our mining system which automatically mines tags from feedback text in an eCommerce scenario. It renders these tags in a…
Discovering Related Clinical Concepts Using Large Amounts of Clinical Notes
In this work, we explore an unsupervised graphical approach to mine related concepts by leveraging the volume within large amounts of clinical notes. Our evaluation…
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