TwitterAutomatedTrading (version 0.1.0)

get_sentiment_tweets: get_sentiment_tweets

Description

This function computes the sentiment from tweets. Remind to connect with twitter using your API Key.

Usage

get_sentiment_tweets(
  ntweets,
  time_tweet,
  terms_list,
  time_zone,
  positive_dictionary,
  negative_dictionary,
  sentiment_index_type
)

Arguments

ntweets

Number of tweets to be searched

time_tweet

Time in hours where the tweets will be filtered

terms_list

Terms to be searched

time_zone

The time zone

positive_dictionary

The list of positive terms of the dictionary

negative_dictionary

The list of negative terms of the dictionarya tibble with the words counting

sentiment_index_type

The sentiment type to be used according to the dictionary, positive, negative or both. Default is both, positive and negative

Value

A list with: (1) - the sentiment index, (2) a tibble with the words counting, (3) a tibble with the negative words counting and (4

Examples

# NOT RUN {
#Not run:
ntweets <- 500
time_tweet <- 6
terms_list <- c("IBOVESPA OR bovespa OR ibov OR petroleo OR $SPX OR $SPY OR $EWZ")
time_zone <- "Brazil/East"
positive_dictionary <- my_dictionary[['positive_terms']]
negative_dictionary <- my_dictionary[['negative_terms']]
sentiment_index <- get_sentiment_tweets(ntweets = ntweets,
terms_list = terms_list,
time_tweet = time_tweet,
time_zone = time_zone,
positive_dictionary = positive_dictionary,
negative_dictionary = negative_dictionary
)

sent_idx <- sentiment_index[[1]]
sent_wrd <- sentiment_index[[2]]
sent_pos <- sentiment_index[[3]]
sent_neg <- sentiment_index[[4]]
# }
# NOT RUN {
# }