NLP -- Part of Speech -- Question Identification and Removal

I have several thousand (36K) transcript of quarterly earnings calls, where investment analysts pose questions and managers in a firm respond.

I am trying to clean up the texts to isolate as much of what the managers say as possible. One particular element that I need cleaned up are the questions analysts asked.

I need python code written that can identify and remove as many of the analyst questions as possible. The large majority of the transcripts have a recognizable and similar structure to one another, and the goal is to capture as many of the questions with as few permutations of code possible.
About the recuiter
Member since Sep 13, 2017
Dahane Wong
from Paris, France

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