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Lære Generate a Word Cloud | Analyzing the Sentiment of Tweets
Tweet Sentiment Analysis
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Kursinnhold

Tweet Sentiment Analysis

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Generate a Word Cloud

A word cloud (also known as a tag cloud) is a visual representation of the most frequently used words in a piece of text. The size of each word in the cloud corresponds to its frequency of use, with the most frequently used words appearing larger and more prominent than less frequently used words.

Word clouds are often used to quickly and easily identify the most important or relevant words in a piece of text, such as a document, a webpage, or a set of social media posts. They can be used in a variety of applications, such as text mining, content analysis, and social media monitoring.

Oppgave

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  1. Import WordCloud, STOPWORDS, ImageColorGenerator from wordcloud.
  2. Select only the "neutral" tweets (the "sentiment" column).
  3. Create a plot using the plot_wordcloud() function.

Løsning

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Seksjon 1. Kapittel 9

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course content

Kursinnhold

Tweet Sentiment Analysis

book
Generate a Word Cloud

A word cloud (also known as a tag cloud) is a visual representation of the most frequently used words in a piece of text. The size of each word in the cloud corresponds to its frequency of use, with the most frequently used words appearing larger and more prominent than less frequently used words.

Word clouds are often used to quickly and easily identify the most important or relevant words in a piece of text, such as a document, a webpage, or a set of social media posts. They can be used in a variety of applications, such as text mining, content analysis, and social media monitoring.

Oppgave

Swipe to start coding

  1. Import WordCloud, STOPWORDS, ImageColorGenerator from wordcloud.
  2. Select only the "neutral" tweets (the "sentiment" column).
  3. Create a plot using the plot_wordcloud() function.

Løsning

Mark tasks as Completed
Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 1. Kapittel 9
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