The total number of tweets during the past using the hashtag #.
There have been posts during using the hashtag #
This chart displays the percentage of tweets which use positive, negative, or neutral language on a given day.
Sentiment is a measure of the positive or negative emotions associated with the words in the tweet. To calculate this, we use the NLTK Sentiment Analyzer, a python package to implement and facilitate Sentiment Analysis using NLTK features and classifiers.
This widget displays all recent tweets, including ones that have been filtered out by Twitter's search algorithm.
Subjectivity is the degree of factuality or opinionated language in tweets. To calculate the subjectivity of sentences, we use the NLTK subjectivity classifier, trained on the Subjectivity Dataset (Pang & Lee, 2004).
Use this information to determine how confident people are when writing tweets, and the strength of the opinions they're sharing.
Twitter users can create an original post, or retweet or reply to an existing tweet. The height of each bar represents the whole number of tweets for a particular day. Each coloured line represents a category (in this case the number of tweets that are replies, retweets, or original) that make up parts of the whole.
Average Posts Per Hour
This chart displays the average number of tweets of various types using # each hour of the day.