This plot is helpful to determine the location of a word in a sequence of text sentences.

Lexical Dispersion Plot

import nltk
from nltk.corpus import webtext
from nltk.probability import FreqDist
from wordcloud import WordCloud
import matplotlib.pyplot as plt

words = ['data', 'science', 'dataset']

nltk.download('webtext')
wt_words = webtext.words('testing.txt')  # Sample data

points = [(x, y) for x in range(len(wt_words))
          for y in range(len(words)) if wt_words[x] == words[y]]

if points:
    x, y = zip(*points)
else:
    x = y = ()

plt.plot(x, y, "rx", scalex=.1)
plt.yticks(range(len(words)), words, color="b")
plt.ylim(-1, len(words))
plt.title("Lexical Dispersion Plot")
plt.xlabel("Word Offset")
plt.show()