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Tag Archives: Natural-language-processing

The Vision API from Google Cloud has multiple functionalities. In this article, we will see how to access them. Before using the API, you need… Read More
Cosine similarity is a measure of similarity between two non-zero vectors of an inner product space that measures the cosine of the angle between them.… Read More
Prerequisite: Introduction to NLP In this article, we are going to discuss how we can obtain text from online text files and extract the required… Read More
spaCy is one of the best text analysis library. spaCy excels at large-scale information extraction tasks and is one of the fastest in the world.… Read More
In this article, we are going to discuss a Natural Language Processing technique of text modeling known as Bag of Words model. Whenever we apply… Read More
When we are dealing with text classification, sometimes we need to do certain kind of natural language processing and hence sometimes require to form bigrams… Read More
We can convert a tree or subtree back to a sentence or chunk string. To understand how to do it – the code below uses… Read More
Prerequisite: Flattening Deep Tree We have flattened a Deep Tree by only keeping the lowest level subtrees. But here we can keep the highest level… Read More
Some of the corpora that we use are often deep trees of nested phrases. But working on such deep trees is a tedious job for… Read More
Let’s understand this with an example : Is our child training enough? Is are our child training enough? The verb ‘is’ can only be used… Read More
Need to swap verb phrases? To eliminate the passive voice from particular phrases. This normalization is helpful with frequency analysis, by counting two apparently different… Read More
Let’s understand this with an example : Is our child training enough? Is are our child training enough? The verb ‘is’ can only be used… Read More
Many of the words used in the phrase are insignificant and hold no meaning. For example – English is a subject. Here, ‘English’ and ‘subject’… Read More
Different kind of ChunkParserI subclass can be used to identify the LOCATION chunks. As it uses the gazetteers corpus to identify location words. The gazetteers… Read More
Chunking all proper nouns (tagged with NNP) is a very simple way to perform named entity extraction. A simple grammar that combines all proper nouns… Read More

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