Comments (4)
cjhutto
commented on June 19, 2024
1
@zHaytam it should be ready to go using pip install --upgrade vaderSentiment.
Thanks!
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cjhutto
commented on June 19, 2024
Oh -- GREAT CATCH! That case should absolutely should be caught (and it was correctly handled in the former Python 2.7 version of VADER) -- I think it got lost in the shuffle when we modularized for speed/performance increases while updating for Python 3... at any rate, the solution is pretty simple, I'll update the function that checks for negation to compare lowercase versions of input words to negation words. (That way, we won't lose the ability to detect capitalization emphasis and such).
Again - thanks for the heads up! I'll push the update soon.
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zHaytam
commented on June 19, 2024
Glad I could help. Is there a date for the update? Not trying to rush you or anything, I just want to know if I should keep my solution or just wait for the update 😄
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cjhutto
commented on June 19, 2024
About to push it out this evening...
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Related Issues (20)
- Dictionary contains phrases like "fed up" that will never hit because of how the sentence is tokenized HOT 1
- Is NLP still required when using VADER?
- vaderSentiment data output in a different order than specified in the docs
- Wrong weight assigned for hashtags with capitals
- Doubt about threshold values used in VADER categorization
- is this thing still alive?
- incorrect result while running on large dataset HOT 1
- Demo None Type not Iterable HOT 2
- Adding Turkish words HOT 2
- help with adding values to vader_lexicon.txt HOT 1
- Download additional DATASETS AND TESTING RESOURCES mentioned in README HOT 3
- Total dataset is decreasing after processed by VADER
- VADER can't parse the word 'bad ass'? HOT 2
- Positive score always 0? HOT 2
- `SPECIAL_CASES` do not work HOT 2
- Support for new Emojis
- list index out of range error persists... HOT 1
- Supporting Aspect Based sentiment analysis
- Add Julia Fork Link To ReadMe
- the sentimentIntensityAnalyzer VADER is giving results only on emojicon logic and NOT text
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