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Corpora Application and Data Visualization: NLTK & Google Colab

Instructor:

Prof. Terri Yueh

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Analyzing Texts and Comments of Three Different Types of Movies with Python and NLTK

507062143 吳俞希 Nani

507062038 黃紫紜 Erin

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Outline

Analyze the movie texts

Conclusion

Analyze Reviews of three movies

References

Sentiment analysis &

10 keywords of the review

10 Most Frequently Words & Word cloud
Most frequently occurring part of speech & data visualization

Movie Introduction

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Movie Introduction

Mission: Impossible is an American action spy film released in 1996.
Directed by Brian De Palma.
Based on the popular 1966-1973 television series of the same name.
The Leading CHARACTER: The story revolves around Ethan Hunt, a skilled agent working for the Impossible Missions Force (IMF), a covert government agency. When an important mission goes awry, resulting in the deaths of his fellow agents.
With his loyalty questioned, he embarks on a dangerous journey to clear his name and uncover the truth behind the betrayal.

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Movie Introduction

La La Land is a captivating and enchanting musical film that was released in 2016.
Written and directed by Damien Chazelle.
CHARACTERS: The story revolves around Mia, an aspiring actress ,and Sebastian, a passionate jazz pianist portrayed.
As they navigate their respective careers, they encounter each other in a series of chance meetings, eventually falling in love.
They face the challenges and sacrifices that come with pursuing their dreams in the competitive entertainment industry.

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Movie Introduction

The Nun is a supernatural horror film released in 2018.
Directed by Corin Hardy.
The movie takes place in 1952 and follows
CHARACTERS: the story of a young nun named Sister Irene, who is sent by the Vatican to investigate a disturbing incident at an isolated abbey in Romania.

She is accompanied by a troubled priest, Father Burke.

Together, they uncover a malevolent force lurking within the abbey, embodied by a demonic nun, Valak.

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Analyze the text of three movies

10 Most Frequently Words

Use NLTK to analyze the highest frequency words

Mission: Impossible

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Analyze the text

Word cloud of keywords

Mission: Impossible

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Analyze the text of three movies

La La Land

10 Most Frequently Words

Use NLTK to analyze the highest frequency words

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Analyze the text

Word cloud of keywords

La La Land

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Analyze the text of three movies

The Nun

10 Most Frequently Words

Use NLTK to analyze the highest frequency words

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Analyze the text

Word cloud of keywords

The Nun

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Most frequently occurring part-of-speech in the text

Mission: Impossible

Count the number of various parts of speech

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Most frequently occurring part-of-speech in the text

La La Land

Count the number of various parts of speech

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Most frequently occurring part-of-speech in the text

The Nun

Count the number of various parts of speech

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Analyze Reviews of three movies

Mission: Impossible

Sentiment analysis: Positive/ Ten key words of the review.

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Analyze Reviews of three movies

Mission: Impossible

Sentiment analysis: Positive/ Ten key words of the review

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Analyze Reviews of three movies

Sentiment analysis: Positive/ Ten key words of the review.

La La Land

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Analyze Reviews of three movies

Sentiment analysis: Positive/ Ten key words of the review.

La La Land

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Analyze Reviews of three movies

Sentiment analysis: Positive/ Ten key words of the review.

The nun

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Analyze Reviews of three movies

Sentiment analysis: Positive/ Ten key words of the review.

The nun

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Conclusion

The words and the part-of-speech in the text can allow us to identify the type of the movies.
The movies under analysis have generated a diverse range of responses from the audience, indicating that they had a important impact and has provoked discussions and interpretations.