Which technique or steps are use for finding the ambiguous word in the given context

Explain your project 'Word sense Disambiguation' using an input/output sample..

Input is given in the form of text string containing ambiguous word . The output should obtain the meaning of that ambiguous word in the given context or sentence.
Consider the example containing word "Bank".
(1)The boy leapt from the water into cold water.
(2)The van pulled up outside the bank & three masked men got out.
The bank has two different meaning i.e. "river of bank" & "Financial building". For this i need to find out the ambiguous in the sentence. I have to use machine learning technique (Navie Bayes algo) for finding the meaning of word. Firstly we have to find the ambiguous word in the given sentence. For this feature selection technique is given in some international journel . That feature selection technique is not clear to me and also used in most of the paper. Most of the people worked with feature selection method. But i have to use some different technique instead of feature selection method . so please suggest me which technique should apply . Should i use same technique or any logical method will apply like preprocessing such as tokenization , chunking , parsing etc.

Ketki DahadInput is given in the form of text string containing ambiguous word . The output should obtain the meaning of that ambiguous word in the given context or sentence.
Consider the example containing word "Bank".
(1)The boy leapt from the water into cold water.
(2)The van pulled up outside the bank & three masked men got out.
The bank has two different meaning i.e. "river of bank" & "Financial building". For this i need to find out the ambiguous in the sentence. I have to use machine learning technique (Navie Bayes algo) for finding the meaning of word. Firstly we have to find the ambiguous word in the given sentence. For this feature selection technique is given in some international journel . That feature selection technique is not clear to me and also used in most of the paper. Most of the people worked with feature selection method. But i have to use some different technique instead of feature selection method . so please suggest me which technique should apply . Should i use same technique or any logical method will apply like preprocessing such as tokenization , chunking , parsing etc.

The first thought I got after reading this was <a href="https://www.thesaurus.com/browse/library" target="_blank" rel="nofollow noopener noreferrer">LIBRARY Synonyms: 9 Synonyms & Antonyms for LIBRARY | Thesaurus.com</a>. There are several libraries available to use thesaurus dictionary. Is it compulsory for you to use "Navie Bayes algorithm"?

Yes , because i have explicitly mention Navie Bayes algo in documentation part by mutual understanding of my guide and my other patners.

Yes , because i have explicitly mention Navie Bayes algo in documentation part by mutual understanding of my guide and my other patners. If any other idea will be there by using machine learning algo plz suggest me. Do i merge more than one algorithm...?