### Install vaderSentiment via pip Source: https://vadersentiment.readthedocs.io/en/latest/pages/installation.html Installs the VADER sentiment module from PyPI using pip. Run this command in your terminal. ```bash > pip install vaderSentiment ``` -------------------------------- ### VADER demo output for example sentences Source: https://vadersentiment.readthedocs.io/en/latest/pages/code_and_example.html Shows the output of the demo script for each sentence, displaying the polarity scores (neg, neu, pos, compound) as returned by VADER. This output is useful for verifying expected sentiment analysis results. ```text VADER is smart, handsome, and funny.----------------------------- {'neg': 0.0, 'neu': 0.254, 'pos': 0.746, 'compound': 0.8316} VADER is not smart, handsome, nor funny.------------------------- {'neg': 0.646, 'neu': 0.354, 'pos': 0.0, 'compound': -0.7424} VADER is smart, handsome, and funny!----------------------------- {'neg': 0.0, 'neu': 0.248, 'pos': 0.752, 'compound': 0.8439} VADER is very smart, handsome, and funny.------------------------ {'neg': 0.0, 'neu': 0.299, 'pos': 0.701, 'compound': 0.8545} VADER is VERY SMART, handsome, and FUNNY.------------------------ {'neg': 0.0, 'neu': 0.246, 'pos': 0.754, 'compound': 0.9227} VADER is VERY SMART, handsome, and FUNNY!!!---------------------- {'neg': 0.0, 'neu': 0.233, 'pos': 0.767, 'compound': 0.9342} VADER is VERY SMART, uber handsome, and FRIGGIN FUNNY!!!--------- {'neg': 0.0, 'neu': 0.294, 'pos': 0.706, 'compound': 0.9469} The book was good.----------------------------------------------- {'neg': 0.0, 'neu': 0.508, 'pos': 0.492, 'compound': 0.4404} The book was kind of good.--------------------------------------- {'neg': 0.0, 'neu': 0.657, 'pos': 0.343, 'compound': 0.3832} The plot was good, but the characters are uncompelling and the dialog is not great. {'neg': 0.327, 'neu': 0.579, 'pos': 0.094, 'compound': -0.7042} At least it isn't a horrible book.------------------------------- {'neg': 0.0, 'neu': 0.637, 'pos': 0.363, 'compound': 0.431} Make sure you :) or :D today!------------------------------------ {'neg': 0.0, 'neu': 0.294, 'pos': 0.706, 'compound': 0.8633} Today SUX!------------------------------------------------------- {'neg': 0.779, 'neu': 0.221, 'pos': 0.0, 'compound': -0.5461} Today only kinda sux! But I'll get by, lol----------------------- {'neg': 0.179, 'neu': 0.569, 'pos': 0.251, 'compound': 0.2228} ``` -------------------------------- ### Upgrade vaderSentiment via pip Source: https://vadersentiment.readthedocs.io/en/latest/pages/installation.html Upgrades an existing VADER installation to the latest version using pip. ```bash > pip install --upgrade vaderSentiment ``` -------------------------------- ### VADER sentiment analysis demo script Source: https://vadersentiment.readthedocs.io/en/latest/pages/code_and_example.html Runs a demo that analyzes a list of sentences with VADER's SentimentIntensityAnalyzer. The sentences cover positive, negation, punctuation, booster words, ALLCAPS, emoticons, slang, and mixed sentiment. The script prints each sentence with its polarity scores. Requires the vaderSentiment package; import may need adjustment depending on installation method. ```python from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer #note: depending on how you installed (e.g., using source code download versus pip install), you may need to import like this: #from vaderSentiment import SentimentIntensityAnalyzer # --- examples ------- sentences = ["VADER is smart, handsome, and funny.", # positive sentence example "VADER is not smart, handsome, nor funny.", # negation sentence example "VADER is smart, handsome, and funny!", # punctuation emphasis handled correctly (sentiment intensity adjusted) "VADER is very smart, handsome, and funny.", # booster words handled correctly (sentiment intensity adjusted) "VADER is VERY SMART, handsome, and FUNNY.", # emphasis for ALLCAPS handled "VADER is VERY SMART, handsome, and FUNNY!!!",# combination of signals - VADER appropriately adjusts intensity "VADER is VERY SMART, uber handsome, and FRIGGIN FUNNY!!!",# booster words & punctuation make this close to ceiling for score "The book was good.", # positive sentence "The book was kind of good.", # qualified positive sentence is handled correctly (intensity adjusted) "The plot was good, but the characters are uncompelling and the dialog is not great.", # mixed negation sentence "At least it isn't a horrible book.", # negated negative sentence with contraction "Make sure you :) or :D today!", # emoticons handled "Today SUX!", # negative slang with capitalization emphasis "Today only kinda sux! But I'll get by, lol" # mixed sentiment example with slang and constrastive conjunction "but" ] analyzer = SentimentIntensityAnalyzer() for sentence in sentences: vs = analyzer.polarity_scores(sentence) print("{:-<65} {}".format(sentence, str(vs))) ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.