readless

A python module for conversation and text summarization and much more exciting features.

Features provided by this module:

Text Segmentation using:
- TextTiling with Block Score
- TextTiling with Vocabulary introduction
Conversational summarization using:
- Cluster Rank
Text summarization using :
- TextRank
- Random

Installation

Make sure you have Python 2.7/3.3+ and pip(Windows, Linux) installed. Run simply (preferred way):

$ [sudo] pip install readless

Or for the latest version in development:

$ [sudo] pip install git+git://github.com/adichat/read-less.git

ReadLess API

You can use readless like a library in your project.

For quickly summarizing a conversation using ClusterRank algorithm:

# -*- coding: utf8 -*-

from readless.Summarization import clusterrank
summarizer = clusterrank.ClusterRank()
pathToFile = "C:/conversation.in"
summary = summarizer.summarizeFile(pathToFile)

For segmenting a text using TextTiling algorithm:

# -*- coding: utf8 -*-

from readless.Segmentation import texttiling
segmentation = texttiling.TextTiling()
pathToFile = "C:/conversation.in"
segmentedText = segmentation.segmentFile(pathToFile)

For a detailed list of other API functionalities, see **ReadLess Documentation**.

Contributions

All contributions are welcomed. This module is in development and there are several scopes of improvement. Tests are to be implemented along with other Summarization algorithms with support for web page summarization. For upcoming features, see Future developments.

LICENSE

Release files for readless 1.0.17

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for readless 1.0.17
File	Size	Uploaded
readless-1.0.17.zip	14.2 kB	Nov 13, 2016	Details

Release files / readless-1.0.17.zip

Download URL	readless-1.0.17.zip
Size	14.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`6d10f151f531136ac8cf0a15b23f659691454ac16b3ee4d948230fd7b460041f`
BLAKE2b-256 checksum How to use checksums	`4b4f9805168a38944990be1f5d9f43c092fdd92228d63abab1fe87e9c8ff0aea`
Upload date	Nov 13, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No