![]() ![]() Further down you can limit your searches by location, tweet author, and even engagement-so you can only show tweets with a certain number of retweets.Īll of this gives you a great deal of flexibility when it comes to digging through the firehose of updates that millions of Twitter users post every day. The new column gets appended to the right-hand side by default.īy clicking on the sliders icon at the top of any search column, you can unlock even more functionality: You can limit the results to certain kinds of tweets (such as tweets with images), enter keywords to exclude, specify particular dates that the tweets must match, and choose whether or not to show retweets. Click the button on the menu bar on the left, choose Search, and tell TweetDeck what you want to look for. The TDM is then summed up so we get a data.This is particularly useful for searches and hashtags, though a column can quickly become overwhelming if your search terms are too broad or too popular. Trump_tweets <- textScrubber(trump_tweets)Īfter that, we remove all the so-called “stopwords”(words that do not add meaning to the topic), and convert the text into a Term Document Matrix. # Remove punctuation, numbers, html-links and unecessary spaces:ĭataframe$text <- gsub("http\\S \\s*", "", dataframe$text)ĭataframe$text <- gsub("\n", " ", dataframe$text)ĭataframe$text <- gsub("https\\w ", "", dataframe$text)ĭataframe$text <- gsub("http\\w ", "", dataframe$text)ĭataframe$text <- gsub("-", " ", dataframe$text)ĭataframe$text <- gsub("
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