Extract most important keywords from a set of documents

Question

I have a set of 3000 text documents and I want to extract top 300 keywords (could be single word or multiple words).

I have tried the below approaches -

RAK

Answer 1

Is better for you to choose manually those 300 words (it's not so much and is one time) - Code Written in Python 3

import os
files = os.listdir()
topWords = ["word1", "word2.... etc"]
wordsCount = 0
for file in files: 
        file_opened = open(file, "r")
        lines = file_opened.read().split("\n")
        for word in topWords: 
                if word in lines and wordsCount < 301:
                                print("I found %s" %word)
                                wordsCount += 1
        #Check Again wordsCount to close first repetitive instruction
        if wordsCount == 300:
                break