![TextContents[ ] Function in Mathematica 12](http://i2.wp.com/www.rangakrish.com/wp-content/uploads/2019/04/FileImport.png?resize=675%2C34&ssl=1 "TextContents[ ] Function in Mathematica 12")
Mathematica 12 was released a few days ago. It has been over a year since version 11.3 came out in March 2018. The long wait appears justified since the new release boasts of numerous improvements and new features across several areas. You may want to read this blog post by Stephen Wolfram. In the area of […]
Title: Grammar as Science Author: Richard K. Larson Publisher: The MIT Press Year: 2010 I love studying English Grammar. That is one of the reasons I enjoy working in the area of NLP. Machine Learning techniques apart, I firmly believe that a good understanding of the conventional approaches to modelling syntax and semantics is essential […]
I have been getting some good feedback on Azure’s Computer Vision API, in particular, the OCR functionality. Although I am not working on any project that requires this functionality at the moment, I thought it would be a good idea to check out the service – just to be “future ready”! This article is not […]
I am a great fan of Opusmodus software. I have written many articles about it in the past. Owing to my several other commitments, I am not able to spend much time on it these days, but I keep checking the features in new releases regularly. The software has evolved substantially since its first release a […]
Title: C++ Concurrency in Action Author: Anthony Williams Publisher: Manning Publications Co. Year: 2019 (Second Edition) The first edition of this book came out in the year 2012 and covered the concurrency features of C++ 11. Much has happened since then. The present C++17 is significantly richer in terms of concurrency support, especially in […]
I talked about detecting Emotion from text in the last two articles. Another popular text analysis service is Text Summarization. There are two approaches for summarization: Extractive summarization Abstractive summarization In the first approach, “Extractive Summarization”, the system extracts key sentences from the given text and puts them together to form a summary. There are no new […]
Last week, I showed how we can use IBM Natural Language Understanding API to identify emotions from given text. Today, I would like to run through the same examples, but using ParallelDots API service. There are wrappers in Java, Python, Ruby, C#, and PHP for accessing the REST service. However, I chose to write my own […]
Identifying the predominant sentiment in unstructured text is used widely these days. There are several REST API services that allow you to submit a piece of text and get back the corresponding sentiment analysis. Meaningcloud, Aylien, Google’s Cloud Natural Language API, and IBM Natural Language Understanding Service are just a few. Emotion detection, especially from facial […]
In the last article, I showed how we can use the neuralcoref library along with spaCy to do coreference resolution (examples involved anaphoric references). In today’s article, I want to try the same (well, almost) examples in Stanford CoreNLP engine and see how they compare. Since CoreNLP is a Java implementation, I chose to write the test […]
According to Stanford NLP Group, “Coreference resolution is the task of finding all expressions that refer to the same entity in a text”. You can also read this Wikipedia page. For example, in the sentence “Tom dropped the glass jar by accident and broke it”, what does “it” refer to? I am sure you will […]
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