NLP/Text Analytics Archives

NLP/Text Analytics

Word2Vec – the world of word vectors

Modeling NLP/Text Analytics R Tools & Languages Data Visualization|NLPposted by Stefan Nikolić November 19, 2017

Have you ever wondered how a chatbot can learn about the meaning of words in a text? Does this sound interesting? Well, in this blog we will describe a very powerful method, Word2Vec, that maps words to numbers (vectors) in order to easily capture and distinguish their meaning. We will briefly describe how Word2Vec... Read more

Word embeddings in 2017: Trends and future directions

Modeling NLP/Text Analytics Natural Language Processing|text analyticsposted by Sebastian Ruder November 10, 2017

Table of contents: Subword-level embeddings OOV handling Evaluation Multi-sense embeddings Beyond words as points Phrases and multi-word expressions Bias Temporal dimension Lack of theoretical understanding Task and domain-specific embeddings Embeddings for multiple languages Embeddings based on other contexts The word2vec method based on skip-gram with negative... Read more

Enhancing Customer Experience with NLP — Part 2

Modeling NLP/Text Analyticsposted by Andrew Prokop November 8, 2017

See first-hand how you can bring an NLP application to life. Last week I introduced No Jitter readers to Natural Language Processing (NLP) and Facebook’s free NLP service, wit.ai. I wrote about intents and entities, and how they work together to convert human language into actionable... Read more

Using The Newspaper Library to Scrape News Articles

Data Wrangling Modeling NLP/Text Analytics Tools Tools & Languages Natural Language Processingposted by George McIntire, ODSC October 12, 2017

This post is the first of a two-part series in which we apply NLP techniques to analyze articles about big data, data science, and AI. If you are tired of the hassles of web scraping, then this post might be just for you. I occasionally web scrape news... Read more

Multi-Task Learning Objectives for Natural Language Processing

Modeling NLP/Text Analytics Natural Language Processingposted by Sebastian Ruder October 3, 2017

In a previous blog post, I discussed how multi-task learning (MTL) can be used to improve the performance of a model by leveraging a related task. Multi-task learning consists of two main components: a) The architecture used for learning and b) the auxiliary task(s) that are trained... Read more

Enhancing Customer Experience with Natural Language Processing

Modeling NLP/Text Analytics Natural Language Processingposted by Andrew Prokop September 18, 2017

Processing language into actionable components is the future of communication. If you talk to a man in a language he understands, that goes to his head. If you talk to him in his language, that goes to his heart. — Nelson Mandela I would venture to... Read more

Word Vectors and SAT Analogies

Blog NLP/Text Analyticsposted by Aaron Schumacher July 23, 2017

This reminded me of SAT analogy questions, which disappeared from the SAT in 2005, but looked like this: PALTRY : SIGNIFICANCE :: A. redundant : discussion B. austere : landscape C. opulent : wealth D. oblique : familiarity E. banal : originality The king/queen example is not difficult, and... Read more

Practical Naive Bayes — Classification of Amazon Reviews

Blog NLP/Text Analytics Predictive Analytics Statistics Bayes|classificationposted by Jack Schultz July 17, 2017

If you search around the internet looking for applying Naive Bayes classification on text, you’ll find a ton of articles that talk about the intuition behind the algorithm, maybe some slides from a lecture about the math and some notation behind it, and a bunch of articles I’m... Read more

If I loved Natural Language Processing less, I might be able to talk about it more

Blog NLP/Text Analytics Natural Language Processingposted by Julia Silge July 16, 2017

In my last post, I did some natural language processing and sentiment analysis for Jane Austen’s most well-known novel, Pride and Prejudice. It was just so much fun that I wanted to extend some of that work and compare across her body of writing. I decided... Read more

Seven Python Kernels from Kaggle You Need to See Right Now

Blog NLP/Text Analytics Research Statisticsposted by George McIntire, ODSC July 10, 2017

The ability to post and share kernels is probably my favorite thing about Kaggle. Learning from other users’ kernels has often provided inspiration for a number of my own projects. I also appreciate the attention to detail and descriptions provided by some users in their code... Read more