Tag: Natural Language Processing
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 […]
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 […]
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 […]
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, […]
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