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Removing StopWords using Dictionary

Hi
I am using my own dictionary to remove Stopwords. On close analysis, words like "is" are not being removed, although they are in the dictionary. Any clue as to why this is happening?
Thanks,
Hyram

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Text Mining + NLP

Accepted answers

kayman

The process flow seems correct at first glance, so just some additional questions

- How do you do word tokenization? If this one is incorrect you might still take full sentences as a token
- Do you transform to upper or lower case? since you are looking for 'is' I assume lower case
- Next you filter by length, as 'is' only contains 2 characters I assume you filter everything that's at least 2 characters. If not than 'is' should be stripped already here so again linked to how you do your word tokenization.
- How is your dictionary constructed? Every stopword on a new line without any spaces? As you are using the NLTK list it may contain additional characters that RM doesn't like to use.

You can also use the out of the box 'filter stopwords (english)', it's very similar to the NLTK one as far as I know.

kayman

Yeah, it's a bit tricky sometimes. A word as 'like' can have a big impact on for instance sentiment analysis, so I personally wouldn't consider it as a generic stopword.

What I typically do is combine both out of the box stop words and a personal addition.
Anyway, if it was gone when using the out of the box option, but remains with the NLTK doc there is indeed probably something with the format used and how it's read.

Easiest would be to just save it as a plain and simple txt file rather than a docx file, this way you're sure there is nothing missed or added

All comments

kayman

Can you share your process? No need to add data, just the process itself.

Hyram

Yes sure, thanks @kayman
Attached

For the dictionary, I am using NLTK stopswords. Not sure if my encoder setting is right?

kayman

Hyram

@kayman thanks for looking. Some answers to your questions:
1. I am using 'non-letters' to tokenise my words and it seems to work. No full sentences as a result;
2. Correct, I transform to lower case;
3. Correct - I filter by length of 2 i.e. any characters with < 2 are out
4. You have a good point as I have not checked this. I basically cut and pasted it into a Word doc

I initially used 'filter Stopwords (English)' but it was excluding words like 'like' which I wanted to keep.
Thanks!

kayman

Hyram

Thanks @kayman
Really appreciate your help! Will try what the operator notes suggest which is inline with what you are saying re txt format.

Hyram

@kayman
Your suggestion re file format worked. Thank you!