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 |