birendra rai BREN1234
BREN1234
/ output.txt
Created
May 1, 2020 13:24
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| Term Frequencies: | |
| [('performance', 25), | |
| ('employee', 20), | |
| ('appraisal', 12), | |
| ('employees', 11), | |
| ('goals', 10), | |
| ('process', 8), | |
| ('feedback', 8), | |
| ('every', 7), | |
| ('management', 7), |
BREN1234
/ blog.py
Last active
May 11, 2020 13:11
This program finds ten most frequent words in corpus after removing the punctuations and stopwords. I have used the Upraizal.com as my corpus. I have used the https://www.upraizal.com/top-7-elements-ideal-employee-performance-appraisal.
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| import requests | |
| import string | |
| import nltk | |
| import re | |
| import pandas as pd | |
| from bs4 import BeautifulSoup | |
| from collections import Counter | |
| from nltk.corpus import stopwords | |
| from sklearn.feature_extraction.text import CountVectorizer,TfidfVectorizer |