vaderSentiment
VADER is a dictionary- and rule-based emotion analysis tool that focuses on emotions expressed in social media texts. It can process elements specific to the social media language, such as capitalization, punctuation marks, slang expressions, emojis, and degree markers. This library, which is Python 3 compatible, calculates positive, negative, or neutral scores of texts by analyzing them at sentence level.
cjhutto · Social Media & Influencers
Common commercial products in this category: Hootsuite, Buffer, Sprout Social
- You analyze the negatives, abbreviations, and highlight punctuation marks in social media texts.
- You perform detailed emotion analysis by breaking up long texts or documents at sentence level.
- You evaluate the emotional intensity of labeled multimedia content or text in different languages.
- • NeutralGitHub Issue
ImportError: cannot import name sentiment
“I installed vaderSentiment with pip and have ensured it is in the correct file, un- and re-installed it, attempted to upgrade pip, attempted to change the permissions for the files and am still having difficulty using this library. Error below: Traceback (most recent call last):…”
- • NeutralGitHub Issue
"To die for" misinterpreted
“I have found this basic common expression which is misinterpreted by Vader: `To die for.-------------- {'neg': 0.661, 'neu': 0.339, 'pos': 0.0, 'compound': -0.5994}` Could you consider adding a new rule for that?”