INSI
Text analysis tool to provide insights.
Automatically generates questions and answers from an input text to provide insights.
Built on top of :
Question Generator :Generates questions from input text.
tableQA :Applies the natural language queries to csv files.
Configuration
git clone https://github.com/abhijithneilabraham/INSI/
cd insi
Quickstart
Text insights
from insi import insi
nlp=insi()
text="A large number of cancer patients died.Many deaths were caused by stomach cancer."
nlp.get_results(text)
#{'How many cancer patients died?': 'a large number', 'How many deaths were caused by stomach cancer?': 'many'}
Improved insights with csvs
Using csv file(s) related to the text could help build more insights.The sample input csvs and schemas can be found in sample and schema respectively. Using a schema is optional.
nlp.get_results(text,csv_path,schema_path)
#{'How many cancer patients died?': [(2431,)], 'How many deaths were caused by stomach cancer?': [(179,)]}