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    "sentiment_by",
    "sentimentr_data",
    "uncombine",
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    "update_polarity_table",
    "update_valence_shifter_table",
    "validate_sentiment"
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      "table": true,
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        "text"
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      "rows": 5179,
      "table": true,
      "tojson": true
    },
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      "title": "2012 U.S. Presidential Debates",
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        "data.frame"
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        "role",
        "dialogue"
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      "table": true,
      "tojson": true
    },
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      ],
      "fields": [],
      "table": false,
      "tojson": true
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      "title": "Create/Manipulate Hash Keys",
      "topics": [
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        "is_key",
        "update_key",
        "update_polarity_table",
        "update_valence_shifter_table"
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    },
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      "title": "Get Available Data",
      "topics": [
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        "sentimentr_data"
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    },
    {
      "page": "average_downweighted_zero",
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      "topics": [
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        "average_mean",
        "average_weighted_mixed_sentiment"
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    },
    {
      "page": "combine_data",
      "title": "Combine 'sentimentr''s Sentiment Data Sets",
      "topics": [
        "combine_data"
      ]
    },
    {
      "page": "course_evaluations",
      "title": "Student Course Evaluation Comments",
      "topics": [
        "course_evaluations"
      ]
    },
    {
      "page": "crowdflower_deflategate",
      "title": "Twitter Tweets About the Deflategate",
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        "crowdflower_deflategate"
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    },
    {
      "page": "crowdflower_products",
      "title": "Twitter Tweets About the Products",
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    },
    {
      "page": "crowdflower_self_driving_cars",
      "title": "Twitter Tweets About Self Driving Cars",
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      "title": "Twitter Tweets About the Weather",
      "topics": [
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    },
    {
      "page": "emotion",
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      "topics": [
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    },
    {
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      "topics": [
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    },
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      "page": "extract_profanity_terms",
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      "topics": [
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    },
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      "page": "general_rescale",
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    {
      "page": "get_sentences",
      "title": "Get Sentences",
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    },
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      "topics": [
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      "page": "hotel_reviews",
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      "page": "hu_liu_apex_reviews",
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      "topics": [
        "hu_liu_apex_reviews"
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      "title": "Cannon G3 Camera Product Reviews From Amazon",
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        "hu_liu_cannon_reviews"
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    {
      "page": "hu_liu_jukebox_reviews",
      "title": "Creative Labs Nomad Jukebox Zen Xtra 40GB Product Reviews From Amazon",
      "topics": [
        "hu_liu_jukebox_reviews"
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    },
    {
      "page": "hu_liu_nikon_reviews",
      "title": "Nikon Coolpix 4300 Product Reviews From Amazon",
      "topics": [
        "hu_liu_nikon_reviews"
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    },
    {
      "page": "hu_liu_nokia_reviews",
      "title": "Nokia 6610 Product Reviews From Amazon",
      "topics": [
        "hu_liu_nokia_reviews"
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    },
    {
      "page": "kaggle_movie_reviews",
      "title": "Movie Reviews",
      "topics": [
        "kaggle_movie_reviews"
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    },
    {
      "page": "kotzias_reviews_amazon_cells",
      "title": "Kotzias Reviews: Amazon Cells",
      "topics": [
        "kotzias_reviews_amazon_cells"
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    },
    {
      "page": "kotzias_reviews_imdb",
      "title": "Kotzias Reviews: IMBD",
      "topics": [
        "kotzias_reviews_imdb"
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    },
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      "page": "kotzias_reviews_yelp",
      "title": "Kotzias Reviews: Yelp",
      "topics": [
        "kotzias_reviews_yelp"
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    },
    {
      "page": "nyt_articles",
      "title": "Sentiment Scored New York Times Articles",
      "topics": [
        "nyt_articles"
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    },
    {
      "page": "plot.emotion",
      "title": "Plots a emotion object",
      "topics": [
        "plot.emotion"
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    },
    {
      "page": "plot.emotion_by",
      "title": "Plots a emotion_by object",
      "topics": [
        "plot.emotion_by"
      ]
    },
    {
      "page": "plot.profanity",
      "title": "Plots a profanity object",
      "topics": [
        "plot.profanity"
      ]
    },
    {
      "page": "plot.profanity_by",
      "title": "Plots a profanity_by object",
      "topics": [
        "plot.profanity_by"
      ]
    },
    {
      "page": "plot.sentiment",
      "title": "Plots a sentiment object",
      "topics": [
        "plot.sentiment"
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    },
    {
      "page": "plot.sentiment_by",
      "title": "Plots a sentiment_by object",
      "topics": [
        "plot.sentiment_by"
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    },
    {
      "page": "presidential_debates_2012",
      "title": "2012 U.S. Presidential Debates",
      "topics": [
        "presidential_debates_2012"
      ]
    },
    {
      "page": "print.extract_emotion_terms",
      "title": "Prints an extract_emotion_terms Object",
      "topics": [
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    {
      "page": "print.extract_profanity_terms",
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      "title": "Prints an extract_sentiment_terms Object",
      "topics": [
        "print.extract_sentiment_terms"
      ]
    },
    {
      "page": "print.validate_sentiment",
      "title": "Prints a validate_sentiment Object",
      "topics": [
        "print.validate_sentiment"
      ]
    },
    {
      "page": "profanity",
      "title": "Compute Profanity Rate",
      "concept": [
        "profanity functions"
      ],
      "topics": [
        "profanity"
      ]
    },
    {
      "page": "profanity_by",
      "title": "Profanity Rate By Groups",
      "concept": [
        "profanity functions"
      ],
      "topics": [
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    },
    {
      "page": "sam_i_am",
      "title": "Sam I Am Text",
      "topics": [
        "sam_i_am"
      ]
    },
    {
      "page": "sentiment",
      "title": "Polarity Score (Sentiment Analysis)",
      "concept": [
        "sentiment functions"
      ],
      "topics": [
        "sentiment"
      ]
    },
    {
      "page": "sentiment_attributes",
      "title": "Extract Sentiment Attributes from Text",
      "topics": [
        "sentiment_attributes"
      ]
    },
    {
      "page": "sentiment_by",
      "title": "Polarity Score (Sentiment Analysis) By Groups",
      "concept": [
        "sentiment functions"
      ],
      "topics": [
        "sentiment_by"
      ]
    },
    {
      "page": "sentimentr",
      "title": "Calculate Text Polarity Sentiment",
      "topics": [
        "package-sentiment",
        "sentimentr"
      ]
    },
    {
      "page": "uncombine",
      "title": "Ungroup a 'sentiment_by' Object to the Sentence Level",
      "topics": [
        "uncombine"
      ]
    },
    {
      "page": "validate_sentiment",
      "title": "Validate Sentiment Score Sign Against Known Results",
      "topics": [
        "validate_sentiment"
      ]
    }
  ],
  "_readme": "https://github.com/trinker/sentimentr/raw/HEAD/README.md",
  "_rundeps": [
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  "_indexed": true,
  "_nocasepkg": "sentimentr",
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