Tyshawn  Braun

Tyshawn Braun

1603956420

Develop Text into WordCloud in Python

Word clouds or tag clouds are graphical representations of word frequency that give greater prominence to words that appear more frequently in a source text. The larger the word in the visual the more common the word was in the document(s).

Word Cloud is a data visualization technique used for representing text data in which the size of each word indicates its frequency or importance. Significant textual data points can be highlighted using a word cloud. Word clouds are widely used for analyzing data from social network websites.

For generating word cloud in Python, modules needed are — matplotlib, pandas and wordcloud. To install these packages, run the following commands :

pip install matplotlib
pip install pandas
pip install wordcloud

The dataset used for generating word cloud is collected from the UCI Machine Learning Repository. It consists of YouTube comments on videos of popular artists.

## Python program to generate WordCloud
## importing all necessery modules

from wordcloud import WordCloud, STOPWORDS
import matplotlib.pyplot as plt
import pandas as pd

Reading the CSV file and encoding it because of different formats in a string of having special characters, colon, comma, etc. Stopwords are English words which does not add much meaning to a sentence.

## Reads 'youtube_comments.csv' file  
df = pd.read_csv(r"youtube_comments.csv", encoding ="latin-1") 

comment_words = '' 
stopwords = set(STOPWORDS)

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Develop Text into WordCloud in Python

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Ray  Patel

Ray Patel

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top 30 Python Tips and Tricks for Beginners

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