eContext API ------------ The eContext API provides easy, quick, and accurate taxonomic classification of any text content. Installation ^^^^^^^^^^^^ Install the eContext API library from source using the following command: $ python setup.py install An executable will be installed into your /usr/local/bin directory that may be used directly from the command line: $ echo "Serena Williams Just Grand-Slammed Her Beyonce '7/11' Remake" | econtext-api -u USERNAME -p PASSWORD -t text $ curl -s http://www.popularmechanics.com/science/health/a14760/real-ebola-vaccine/ | econtext-api -u USERNAME -p PASSWORD -t html $ echo "http://www.popularmechanics.com/science/health/a14760/real-ebola-vaccine/" | econtext-api -u USERNAME -p PASSWORD -t url You can also specify an input file containing the text or HTML you intend to classify. Using the Library ^^^^^^^^^^^^^^^^^ At the basic level, for each batch of classifiations you would like to run, you pass in a `requests.session` object containing authorization and content-type headers to the classification object, specify the data, and then run the batch. from econtextapi.client import Client from econtextapi.classify import Social posts = [ "A master class in customer service from Lego. Boy writes to Lego after losing a mini-figure. Here's their reply...", "This makes me realize how little hope there is for the education system in America.", "Perrie just finished decorating the tree I didn't really help :( ha sorry x " ] client = Client(USERNAME, PASSWORD) classify = Social(client) classify.set_classify_data(posts) results = classify.get_results() classify = Social(client) classify.set_classify_data(10000_posts) for result in classify.get_results(): print(result) # result should contain all data pertinent to _that_ result result