Twitter keyword search allows you to query any word and analyze with Datameer's powerful solution. Here you conduct a simple word prevalence, top hash tags, and top handles related to the word.

Infographic

This infographic shows:

A word cloud of most popular word from all tweets.
A chart with most frequent hashtags.
A chart with most frequent handles.
A chart with most frequent languages used in the tweets.

Import and Connection

There are two static data sources prepared on a Amazon S3 instance:

LanguageCodes maps ISO 639-2 language codes to the actual language names
Stopwords is a list of common English words that don't contribute a lot of meaning, e.g. words such as "a", "as", "and"

The most important import job is the actual Twitter search query KeywordSearch. It is configured as

thinkpad

but a number options are possible. You can include (or exclude) more search terms, set a date range or restrict to certain languages for example. See https://dev.twitter.com/docs/using-search for more information.

Workbook

The basic steps in the TrendingTopics workbook are:

Tokenize the tweets to get one row per word in the tweet.
Filter out hashtags and handles to break down the analysis for these particular items.
Join the data with the language code to be able to draw the actual language names on the widget (not just the codes).
Join the data with the stopwords to be able to remove the stopwords to compute the word cloud.

Browser not supported