cjhutto/vaderSentiment
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VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
7 mentions on Hacker News by 6 people: 0 stories, 7 comments · first 2016-05-13 · latest 2024-02-10
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There's overlap, but many traditional NLP techniques are heuristics based. Here's an example: https://github.com/cjhutto/vaderSentiment
comment by jeffnappi · 2024-02-10 · in Walmart, Delta, and Starbucks are using AI to monitor employee messages -
That is correct, this was calculated using VADER sentiment analysis ( https://github.com/cjhutto/vaderSentiment )
comment by greatwave1 · 2021-01-17 · in Hacker News sentiment towards Big Tech companies -
I used VaderSentiment ( https://github.com/cjhutto/vaderSentiment ) for sentiment analysis. It's not a perfect solution, as I'm sure some of the discussion on these companies is loaded with jargon that wouldn't be interpreted accurately by…
comment by greatwave1 · 2021-01-17 · in Hacker News sentiment towards Big Tech companies -
…like in this case when you're dealing with a very limited vocabulary. A free CPU based library like https://github.com/cjhutto/vaderSentiment should be good enough. > And the NLP results get traded on by placing orders with an exchange?…
comment by luc4sdreyer · 2019-09-11 · in The Volfefe Index -
From the python, looks like it uses a series of local text file https://github.com/cjhutto/vaderSentiment
comment by snomad · 2017-06-09 · in VaderSharp – Sentiment analysis using Vader with C# -
…other libraries or algorithms. have you seen this - i have been playing with it, seems reliable: https://github.com/cjhutto/vaderSentiment
comment by snissn · 2017-05-05 · in Show HN: See if a movie is happy or sad with sentiment analysis -
I'm using VADER - https://github.com/cjhutto/vaderSentiment - because it's trained on NYT data which makes it suitable for news sentiment parsing. The code is pretty readable but relies heavily on a ruleset which might need to be tweaked…
comment by yolesaber · 2016-05-13 · in Announcing SyntaxNet: The World’s Most Accurate Natural Language Parser