nltk-examples | Worked examples from the NLTK Book | Application Framework library

by sujitpal Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | nltk-examples Summary

nltk-examples is a Python library typically used in Server, Application Framework, Ruby On Rails applications. nltk-examples has no bugs, it has no vulnerabilities and it has low support. However nltk-examples build file is not available. You can download it from GitHub.

Worked examples from the NLTK Book

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Support

nltk-examples has a low active ecosystem.

It has 179 star(s) with 133 fork(s). There are 21 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 2237 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nltk-examples is current.

Quality

nltk-examples has no bugs reported.

Security

nltk-examples has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

nltk-examples does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

nltk-examples releases are not available. You will need to build from source code and install.

nltk-examples has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed nltk-examples and discovered the below as its top functions. This is intended to give you an instant insight into nltk-examples implemented functionality, and help decide if they suit your requirements.

Calculate accuracy and recall accuracy
Calculate accuracy
Normalize a word
Convert bigram to unigrams
Train a nltk model
Calculates BackoffTransCPD for the given tags
Add a single sentence to the model
Build text from text file
Convert a string to n - grams
Plot nbest distribution
Look up tweet by id
Recursively recursively iterate through the tree
Build an automaton
Return a set of words that are not lower than 5
Convert a string to a list of ngrams
Find all corefs in the corefs file
Vectorize text data
Find the index of the first occurrence of a punctuation
Return a dict of post tags
Parse PTB tags
Reformat words in a file
Find matches of a given sentence
Save an ARFF file
Performs a test on a test
Partition the mentions by a given sentence
Return a list of coref clusters for the given text

Get all kandi verified functions for this library.

nltk-examples Key Features

No Key Features are available at this moment for nltk-examples.

nltk-examples Examples and Code Snippets

No Code Snippets are available at this moment for nltk-examples.

Community Discussions

Trending Discussions on nltk-examples

QUESTION

Semantic Similarity between Sentences in a Text

Asked 2017-Jan-11 at 17:58

I have used material from here and a previous forum page to write some code for a program that will automatically calculate the semantic similarity between consecutive sentences across a whole text. Here it is;

The code for the first part is copy pasted from the first link, then I have this stuff below which I put in after the 245 line. I removed all excess after line 245.

...

ANSWER

Answered 2017-Jan-11 at 17:43

This should work. There's a few things to note in the comments. Basically, you can loop through the lines in the file and store the results as you go. One way to process two lines at a time is to set up an "infinite loop" and check the last line we've read to see if we've hit the end (readline() will return None at the end of a file).

Source https://stackoverflow.com/questions/41595301

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install nltk-examples

You can download it from GitHub.
You can use nltk-examples like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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