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I have set of topics as follows.

"web based", "web-based" -> with surplus symbols "technology","technologies" -> with singular and plural "learned", "learnt", "learning" ->suffix stripping

Can you please recommend an accurate tool to perform aforementioned tasks.

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For text processing, try using Python and the NLTK package.

For removing surplus symbols, you can use regular expressions. Install package 're' and use the built-in function re.sub to substitute symbols like '-' with empty character.

For suffix stripping, you can either use regular expressions again or use the built-in word stemming functionality in the NLTK package. This tutorial should help.

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