Skip to main content

A tool for generating polarity lexicons with WordNet package

Project description

The Usage of GPLWordNet

Introduction

GPL WordNet (Generating Polarity Lexicions with WordNet) is a lexicon-generating tool that uses WordNet as a database to find two sets of lexicons.

It provides two basic function,

  • Full expansion: This function is used to find target words' antonyms, synsets, adjectives, derivational words, and hyponyms.
  • Antonyms expansion - This function is used for finding target words' antonyms.

This tool is an extended Python version of Nicolas et al.'s dictionary-generating approach. As their team only provides the R version, it is quite hard to use. Therefore, I provide this Python version, and you can absolutely improve and self-define this package's function by git my code from my GitHub.

Function

  1. example.full_expand()
  2. example.antonyms_expand()
Function Name Features
full_expand() find target words' antonyms, synsets, adjectives, derivational words, and hyponyms
antonyms_expand() find target words' antonyms

Agruments

Input Parameters

1. full_expand() function

Parameter Name Required Type Description
datax Yes list A list where each dictionary contains 'term', 'PoS', and 'sense'. 'term' (str): The word to expand.'PoS' (str): Part of Speech ('NOUN', 'VERB', 'ADJECTIVE').The specific sense index to use for the term(False,single words; True, synsets).
antonym No bool Whether to include antonyms in the expansion. Defaults to True.
syns No bool Whether to return synsets. Defaults to False.

Notes: Only key 'term' is compulsory.

2. antonyms_expand() function

Parameter Name Required Type Description
datax Yes list A list where each dictionary contains 'term', 'PoS', and 'sense'. 'term' (str): The word to expand.'PoS' (str): Part of Speech ('NOUN', 'VERB', 'ADJECTIVE').The specific sense index to use for the term(False,single words; True, synsets).
syns No bool Whether to return synsets. Defaults to False.

Notes: Only key 'term' is compulsory.

Output Parameters

1. full_expand() function

Parameter Name Type Description
You called function list A list of unique words or synsets, expanded from the input terms based on the specified relationships.

2. antonyms_expand() function

Parameter Name Type Description
You called function list A list of unique words or synsets, expanded from the input terms based on the specified relationships.

Example

1. full_expand() function

Basic function

data = [{'term': 'good'}]
print(example.full_expand(data))
data = [{'term': 'good', 'PoS': 'ADJECTIVE'}]
print(example.full_expand(data))

Extra Parameters

data = [{'term': 'good', 'PoS': 'ADJECTIVE'}]
print(example.full_expand(data,syns=True,antonym=False))

2.antonyms_expand() function

Basic function

data = [{'term': 'good', 'PoS': 'ADJECTIVE'}]
print(example.antonyms_expand(data))

Extra Parameters

data = [{'term': 'good', 'PoS': 'ADJECTIVE'}]
print(example.antonyms_expand(data,syns=True))

Supplemantal Materials

  1. This work is an replication work of Nicolas' SADCAT codes, which only have R version. For more details about Nicolas Works, please refer to following link,

  2. The approach I mainly learned from Maks et al.'s(2014) Paper.

Call for Contributions

The GPLWordNet project welcomes your expertise and enthusiasm!

Small improvments of fixes are always appreciated, please submit your feature according GitHUb.

Our preferred channels of communication are all public, but if you’d like to speak to us in private first, contact my public email at xuanlongqin.cu@gmail.com .

Acknowledge

I would like to sincerely thank my dear Ling Yan, who spent three hours accompanying me and watching TV series alone during this period, supporting me to complete this project.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gplwordnet-1.0.3.tar.gz (7.2 kB view hashes)

Uploaded Source

Built Distribution

GPLWordNet-1.0.3-py3-none-any.whl (7.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page