sentiread: Sentiment and Readability

In trinker/testing: What the Package Does

Description

A dataset containing various sentiment and redability variables for interviews.

Usage

data(sentiread)

Format

A data frame with 327 rows and 42 variables

Details

• Complete_Row_ID. id

• Sentiment_turk. Turk sentiment score

• Anger_turk. Turk anger score

• Anticipation_turk. Turk anticipation score

• Disgust_turk. Turk disgust score

• Fear_turk. Turk fear score

• Joy_turk. Turk joy score

• None_turk. Turk nada score

• Sadness_turk. Turk sadness score

• Surprise_turk. Turk surprise score

• Trust_turk. Turk trust score

• Observation. Observation number id

• Person. Teacher being interviewed

• ID. An id

• Role. Teacher or student

• Gender. Gender of teacher

• Race. Race of teacher

• Question_Number. Which question id

• Question. The question

• Word_Count. Words in response

• element_id. Which turn of talk

• sentence_id. Sentence id within turn of talk

• Dialogue. The speech

• Sentiment_comp. Computer (Stanford) sentiment score

• Anger_comp. Computer anger score

• Anticipation_comp. Computer anticipation score

• Disgust_comp. Computer disgust score

• Fear_comp. Computer fear score

• Joy_comp. Computer joy score

• Sadness_comp. Computer sadness score

• Surprise_comp. Computer surprise score

• Trust_comp. Computer trust score

• Negative_comp. Computer negative score

• Positive_comp. Computer positive score

• narative_duration. Sentence id number within person

• Flesch_Kincaid. Readability statistic (specific)

• Gunning_Fog_Index. Readability statistic (specific)

• Coleman_Liau. Readability statistic (specific)

• SMOG. Readability statistic (specific)

• Automated_Readability_Index. Readability statistic (specific)

• Average_Grade_Level. Readability statistic (general/summary)

• ave_sentiment. Sentimentr sentiment score

trinker/testing documentation built on June 1, 2019, 12:52 a.m.