Semantic is a Python library for extracting semantic information from text, such as dates and numbers. Full documentation is available on PyPI, with a list of primary features and uses-cases below.
Installing semantic is simple:
$ pip install semantic Semantic consists of four main modules, each of which corresponds to a different semantic extractor. The test suite (test.py) contains tons of examples for each of the four modules, but some sample use-cases are described below.
Useful for:
- Extracting relative (e.g., "a week from today") and absolute (e.g., "December 11, 2013") dates from text snippets.
- Converting date objects to human-ready phrasing.
Useful for:
- Extracting numbers (integers or floats) from text snippets.
- Converting numbers to human-readable strings.
Example usage:
#!/usr/bin/env python from semantic.numbers import NumberService service = NumberService() print service.parse("Two hundred and six") # 206 print service.parse("Five point one five") # 5.15 print service.parse("Eleven and two thirds") # 11.666666666666666 print service.parseMagnitude("7e-05") # "seven to the negative five" Useful for performing mathematical operations expressed as words.
Example usage:
#!/usr/bin/env python from semantic.solver import MathService service = MathService() print service.parseEquation("Log one hundred and ten") # 4.70048 Useful for converting between units expressed as words.
Example usage:
#!/usr/bin/env python from semantic.units import ConversionService service = ConversionService() print service.convert("Seven and a half kilograms to pounds") # (16.534, 'lbs') print service.convert("Seven and a half pounds per square foot to kilograms per meter squared") # (36.618, 'kg/m**2') The Dates, Numbers, and Math modules can run in isolation (i.e., without any dependencies), while the Units module requires quantities and Numpy.
MIT © Charles Marsh