An Easy Text and Sentiment Analysis Library

Documentation for package ‘texter’ version 0.1.9

brexit	This is the first data to be included in my package
counter	Get the number of times a vector of words occurs
doge	This is the first data to be included in my package
nrc	This data was saved NRC word-emotion association lexicon
removeNumPunct	Easily remove Punctuation from Text
removeURL	A function to help you remove URLs from text
sentimentAnalyzer	Get the overall weight of emotions conveyed in a corpus
stop_words	Saved stop_word dataframe from tidytext
top_bigrams	Get the top bigrams from text Get the top n bigrams from vector of text
top_Sentiments	Get the top 10 negative and positive words
top_words	Get the top n words from vector of text
top_words_Retriever	Get the top words based on a key search word
users	Extract Usernames and tagged handles from tweets