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
- example.full_expand()
- 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
-
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,
-
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
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