feature_hashtags: Hashtag features

In sebastian-fox/twitterfeatures: Simple Feature Engineering Functions for Twitter Data

Description

Engineers features related to hashtags in Tweets.

Usage

feature_hashtags(data, doc_id_field, text_field, top_num = 100L,
  min_n = 2L)

Arguments

data	a dataframe or tibble containing the text data and document id
doc_id_field	unquoted field name identifying the field within the data that represents the unique document id
text_field	unquoted field name identifying the field name in data that contains the text of the Tweet
top_num	integer, the top n hashtags to create features from
min_n	integer, the minimum number of occurrences a hashtag must appear in the data

Details

Hashtags are first converted to lowercase before the features are calculated.

The hashtag features are calculated as a proportion of the total number of words in the Tweet:

• the count of positive/negative sentiment based on the NRC lexicon

• the count of positive/negative sentiment once all NRC lexicon sentiments are grouped

• the count of the top n hashtags used in the training data

Value

A data frame of document ids their associated hashtag features

Examples

tweets <- data.frame(status_id = c(1234, 5678),
                     text = c("I tweet about one thing #onething #things",
                              "I tweet about another thing #another
                              thing #things"),
                     stringsAsFactors = FALSE)
feature_hashtags(tweets, status_id, text)

sebastian-fox/twitterfeatures documentation built on Nov. 5, 2019, 8:47 a.m.