How to extract entity data from text?

Question

Algorithms

Given: a text with data about the entity, for example, an ad - "I will sell a used Ariston HotPoint v32.01 washing machine, excellent condition. Call 79871233445, Alexey. 7000 rubles."
It is necessary to extract data from the text, such as: name, model, state, contact and price.
What algorithms, libraries, frameworks, technologies can be used for this?

Answer 1

I think the following text parsing tools are needed:

1. Linguistic Analysis and Text Processing , Advanced Course in Natural Language Processing
   
2. parser generator for natural language text
   
3. compiling a dictionary of attributes: proper names, currency, cities. Based on the given classes of text attributes, find out the order for parsing the text. For example, in a given sentence, the presence of an action is determined (" buy " / "sell" / "exchange"), then " state ", contact (" call " and multi-digit number " 79871233445 ", local format), name " Alexey ", numbers " 7000 " + currency " rubles ". The name is the most difficult to define, and therefore it may make sense to define this attribute last.