Metadata-Version: 2.1
Name: Wordsense
Version: 1.0.3
Summary: Get Meaning of Ambiguous word
Home-page: https://github.com/DASHANANT/Get_Wordsense
Author: Anant Dashpute
Author-email: <anantdashpute@gmail.com>
License: UNKNOWN
Keywords: WSD,Sense,Disambiguation,Lesk,word-sense,stem,Knowlege based,wordnet,NLP
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Information Technology
Requires-Dist: nltk


# Wordsense

The whole idea of word sense is controversial.
The meaning of a word is highly contextual and depends on its usage in sentence.

English is very difficult language to learn by robot as
a lot of words are Ambiguous( Word with diffrent meanings).

To solve this state-of-the-art problem, we have implemented the solution using Knowledge-Based Method ,
which concerned with identifying which sense of a word is used in a sentence.

# How to Install

```python
$ python
>>>pip install -U nltk
>>>nltk.download('stopwords')
>>>pip install Get_Wordsense
```

# Demonstration

```python
$ python
>>>sentence = 'I went to the bank to deposit my money'
>>>ambiguous_word = 'bank'
>>>print Get_sense(sentence, ambiguous_word, pos=None, synsets=None)
'a financial institution that accepts deposits and channels the money into lending activities'
```

# Cite

To cite `Get_Wordsense`:

Anant Dashpute. 2021. Get_Wordsense: Python Implementation of Get_Wordsense.
Retrieved from <https://github.com/DASHANANT/Get_Wordsense>


# References

- Michael Lesk. 1986. Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone. In Proceedings of the 5th annual international conference on Systems documentation (SIGDOC '86), Virginia DeBuys (Ed.). ACM, New York, NY, USA, 24-26. DOI=10.1145/318723.318728 http://doi.acm.org/10.1145/318723.318728

- Zhi Zhong and Hwee Tou Ng. 2010. It makes sense: a wide-coverage word sense disambiguation system for free text. In Proceedings of the ACL 2010 System Demonstrations. Association for Computational Linguistics, USA, 78â€“83.

# Suggestions

Feel free to drop your suggestion at the following email address:
- Author: Anant Dashpute
- Email: <anantdashpute@gmail.com>


