TATR: Text Analysis for Twitter Research
This list compiles a suite of tools that make up Kynan Ly's Text Analysis for Twitter Research (TATR) Library. Recipes to these notebooks can be found on methodi.ca
TATR: This notebook is part of a greater series of Juypter Notebook structured around Twitter Tweet analysis. This particular notebook will look at Panda dataframe manipulation. It looks closely at panda index, groupby, and count features of panda. This notebook aims to teach these concepts and how they interact with csv.
This notebook is part of a greater series of Juypter Notebook structured around Twitter Tweet analysis. This particular notebook will look at tokenization of extracting key features from a tweet text. This notebook also serves as one of the introductory notebook for TATR as tokenization and extraction are fundamental features for any analysis.
TATR: This notebook is part of a greater series of Juypter Notebook structured around Twitter Tweet analysis. This particular notebook will look at categorizing text using the General Inquirer Categories released by Harvard (http://www.wjh.harvard.edu/~inquirer/spreadsheet_guide.htm). This notebook will showcase how to break down the General Inquirer Category into a dictionary and how it can be tailored to fit your needs.
TATR: Graphing
This notebook is part of a greater series of Juypter Notebook structured around Twitter Tweet analysis. This particular notebook will look at graphing. From saving the resulting graph to organization. This notebook will provide the a framework that can be expanded to suit your needs.
TATR: This notebook is part of a greater series of Juypter Notebook structured around Twitter Tweet analysis. This particular notebook will look at finding the most popular hashtag for a given date. This notebook will showcase two main features with the end goal of finding the most popular hashtag by date. The first feature is collapsing all the tokenized hashtag of a date into a larger set. The second feature is to save the "tokenized list" into a csv and load it back such that Panda dataframes can still treat this as a list. This notebook will also provide the a framework that can be expanded to suit your needs.
TATR: Panda and CSV of Tweets
This notebook is part of a greater series of Juypter Notebook structured around Twitter Tweet analysis. This particular notebook will look at loading in a CSV (comma-separated values) file into a panda datastructure. Serving as one of the introductory coding notebook in the series, this notebook aims to teach and showcase how to load and save tweets into CSV files.
Other list by Jason Bradshaw