Comments (2)
Yes - there absolutely is a way to either add your own data to the existing lexicon set, or to have your own completely separate lexicon set. If you want to be rigorous, follow the methods discussed in the paper that is referenced on the home page... if you just want to add more items and scores to the existing lexicon, you simply insert them into (your own local or forked copy) of the lexicon text file, using a tab to delimit the term and it's sentiment valence...
from vadersentiment.
Hi,
I have a list of positive and negative domain specific lexicon. I noticed that I need to have a valance score associated with them in order to add them to the existing Vader lexicon file. Can you please let me know how I can compute those scores?
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Related Issues (20)
- 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 2
- 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 3
- Support for new Emojis
- list index out of range error persists... HOT 2
- Supporting Aspect Based sentiment analysis
- Add Julia Fork Link To ReadMe
- the sentimentIntensityAnalyzer VADER is giving results only on emojicon logic and NOT text HOT 1
- Compound score diverges for long sequences
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