Programming
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 […]
In an earlier article, I wrote about using iLangGen to generate natural language text. iLangGen is a powerful text generation library that I have been working on over the years. Today, I would like to show how we can use that library to generate “poetry“. Be warned, however, that the generated poem is devoid of […]
In the earlier two articles, we looked at Sentence Parsing and Chunking as supported in OpenNLP. In today’s article, let us explore Named Entity Recognition, also known as NER. NER is a technique to identify special categories of noun phrases such as people, places, companies, money, etc., present in the given text. This is widely used as […]
In my previous post, I showed how to parse sentences using OpenNLP. Another useful feature supported by OpenNLP is “chunking”. That is the subject of today’s article. Chunking stands between part-of-speech tagging and full parse in terms of the information it captures. POS tagging assigns part of speech to individual tokens in a sentence. So, […]
In my earlier posts I have written about parsing text using spaCy and MeaningCloud’s parsing API. For today’s article, I decided to take a look at OpenNLP, an open-source ML-based Java toolkit for parsing natural language text. OpenNLP is a fairly mature library and has been around since 2004 (source: Wikipedia). It is actively maintained and […]
Some time ago, I had written a series of articles on my iLexicon project. It is a Lisp package that supports many interesting queries on English words. When I was discussing this project with a client recently, she asked me if it was possible to query the system in natural language instead of through Lisp. […]
A few days ago, I came across a nice library called RiTa, which is described as a software toolkit for computational literature. Its two major features are text analysis and text generation. The text analysis module parses given text to extract sentences, tokens, POS, stresses, and phonemes. There is also interesting functionality to conjugate verbs, […]
There is wide-spread interest in Natural Language Processing (NLP) today, and there are several API services available to cater to this demand. See this article for a fairly detailed list of services. All of them support multiple languages, including English. Today, I am going to share my experience in working with MeaningCloud’s Text Analytics API, […]
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