Description Usage Arguments Value Author(s)
View source: R/channel_analytic.r
Extract many informative stats and object from a set of tweet messages parsed as channel
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | channel_analytic(
channel_obj,
use_channel_dates = TRUE,
start_date = NULL,
end_date = NULL,
Ntop = 11,
Nmin = 25,
naming = "",
only_original_tweet = FALSE,
lowercase = TRUE,
corpus_lang = "it",
stopword = TRUE,
account_tw = "",
corpus_hashtag = TRUE,
graph_analisys = FALSE,
corpus_analisys = FALSE
)
|
channel_obj |
data.frame Dataset of tweets. |
use_channel_dates |
logical Use temporal indication of channel. |
start_date |
character Date of analisys starting. |
end_date |
character Date of analisys ending. |
Ntop |
integer indicate the maximum number for top statistics. |
Nmin |
integer indicate the minimal data numerosity. |
naming |
character Indicate which naming framework is adopted. "TAGS","DISIT","rtweet","account_analitics" are names allowed. |
only_original_tweet |
logical Taking into account only original. Default all tweets are considered. |
lowercase |
logical Consider all text as lower case. Default is TRUE. |
corpus_lang |
character language used in Corpora analisys done. Default is "it". |
stopword |
logical if stopword set to is removed from word frequency matrix. Default italian stopwords of R tm package. |
account_tw |
character User account if naming parameter is an "account_statistics". |
corpus_hashtag |
logical Corpus analisys not considering the hashtag. |
graph_analisys |
Igraph object Graph analisys done. default is FALSE. |
corpus_analisys |
qDap object wfm for Corpora analisys done. Default is FALSE. |
Return a R list object for channel analisys.
channel_stat list: Channel summaries of following parameters.
daily_stat data.frame : Daily channel statistics.
table_message data.frame :Frequency data of messages.
table_hash data.frame : Frequency data hashtags.
table_mentions data.frame : Frequency data of mentions.
table_links data.frame : Frequency data.frame of urls.
table_authors data.frame : Frequency data of authors.
table_authors_retweeter data.frame : Frequency data.frame of authors that are active retweeter.
retweeted_authors data.frame : Frequency of retweeted authors.
favorite_authors data.frame : Frequency data of favorited authors.
favorite_message data.frame : Rank of Favorite messages.
rank_message_retweeted data.frame : Frequency of retweeted message.
top_message data.frame : TopN messages in channel.
top_authors data.frame : TopN authors in channel.
top_hash data.frame : TopN hashtag.
top_mentions data.frame : TopN user mentioned.
top_links data.frame : TopN links.
topfull_authors_retweeter data.frame : TopN author that have retweeted.
topfull_message_retweeted data.frame : TopN message that have retweeted.
graph_retweet igraph object: Simplified Retweet graph.
graph_mentions igraph object: Simplified Mention graph object as igraph R object.
channel_data data.frame: Channel_data used for analisys with other ancillary variables.
channel_corpus wfm object: Corpus of messages without mentions and links and optionally without hashtag.
word_freq_matr qdap wfm object : Word frequency matrix.
account_stats data.frame : Statistic account's activity by date.
Istituto per la Bioeconomia Firenze Italy Alfonso Crisci alfonso.crisci@ibe.cnr.it
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