Calculate Text Polarity Sentiment
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Documentation for package ‘sentimentr’ version 2.9.0
Help Pages
| as_key | Create/Manipulate Hash Keys |
| available_data | Get Available Data |
| average_downweighted_zero | Downweighted Zeros Averaging |
| average_mean | Downweighted Zeros Averaging |
| average_weighted_mixed_sentiment | Downweighted Zeros Averaging |
| combine_data | Combine 'sentimentr"s Sentiment Data Sets |
| course_evaluations | Student Course Evaluation Comments |
| crowdflower_deflategate | Twitter Tweets About the Deflategate |
| crowdflower_products | Twitter Tweets About the Products |
| crowdflower_self_driving_cars | Twitter Tweets About Self Driving Cars |
| crowdflower_weather | Twitter Tweets About the Weather |
| emotion | Compute Emotion Rate |
| emotion_by | Emotion Rate By Groups |
| extract_emotion_terms | Extract Emotion Words |
| extract_profanity_terms | Extract Profanity Words |
| extract_sentiment_terms | Extract Sentiment Words |
| general_rescale | Rescale a Numeric Vector |
| get_sentences | Get Sentences |
| get_sentences2 | Get Sentences (Deprecated) |
| highlight | Polarity Text Highlighting |
| hotel_reviews | Hotel Reviews |
| hu_liu_apex_reviews | Apex AD2600 Progressive-scan DVD player Product Reviews From Amazon |
| hu_liu_cannon_reviews | Cannon G3 Camera Product Reviews From Amazon |
| hu_liu_jukebox_reviews | Creative Labs Nomad Jukebox Zen Xtra 40GB Product Reviews From Amazon |
| hu_liu_nikon_reviews | Nikon Coolpix 4300 Product Reviews From Amazon |
| hu_liu_nokia_reviews | Nokia 6610 Product Reviews From Amazon |
| is_key | Create/Manipulate Hash Keys |
| kaggle_movie_reviews | Movie Reviews |
| kotzias_reviews_amazon_cells | Kotzias Reviews: Amazon Cells |
| kotzias_reviews_imdb | Kotzias Reviews: IMBD |
| kotzias_reviews_yelp | Kotzias Reviews: Yelp |
| nyt_articles | Sentiment Scored New York Times Articles |
| package-sentiment | Calculate Text Polarity Sentiment |
| plot.emotion | Plots a emotion object |
| plot.emotion_by | Plots a emotion_by object |
| plot.profanity | Plots a profanity object |
| plot.profanity_by | Plots a profanity_by object |
| plot.sentiment | Plots a sentiment object |
| plot.sentiment_by | Plots a sentiment_by object |
| presidential_debates_2012 | 2012 U.S. Presidential Debates |
| print.extract_emotion_terms | Prints an extract_emotion_terms Object |
| print.extract_profanity_terms | Prints an extract_profanity_terms Object |
| print.extract_sentiment_terms | Prints an extract_sentiment_terms Object |
| print.validate_sentiment | Prints a validate_sentiment Object |
| profanity | Compute Profanity Rate |
| profanity_by | Profanity Rate By Groups |
| sam_i_am | Sam I Am Text |
| sentiment | Polarity Score (Sentiment Analysis) |
| sentimentr | Calculate Text Polarity Sentiment |
| sentimentr_data | Get Available Data |
| sentiment_attributes | Extract Sentiment Attributes from Text |
| sentiment_by | Polarity Score (Sentiment Analysis) By Groups |
| uncombine | Ungroup a 'sentiment_by' Object to the Sentence Level |
| update_key | Create/Manipulate Hash Keys |
| update_polarity_table | Create/Manipulate Hash Keys |
| update_valence_shifter_table | Create/Manipulate Hash Keys |
| validate_sentiment | Validate Sentiment Score Sign Against Known Results |