#Installthelibraries
!pip install nltk matplotlib wordcloud

from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize ,sent_tokenize
from nltk.probability import FreqDist
import matplotlib.pyplot as plt

text = """
Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between
computers and human language, in particular how to program computers to process and analyze large amounts of natural language data.
The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them.
The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.
Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation.
"""

stopWords = set(stopwords.words("english"))

Tokenizing the paragraph

words = word_tokenize(text)

removing stop word

wordfrq = {}
for word in words:
if word in stopWords:
continue
if word in wordfrq:
wordfrq[word]+=1
else:
wordfrq[word] = 1

plotting the frequencies

frequency_dist = FreqDist(wordfrq)
frequency_dist.plot(32 , cumulative=False)
plt.show()