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mschumacher_mod1pp_51119.pptxMOVIE REVIEW
AMERICAN PIE
Objectives
American pie was set in 1999 and focus on a small group of friends in their final year.
It is set in East Great Fall high school in west Michigan (Batanovic et.al, 2016).
They are Kevin Myers, Oz, Jim Levenstein and Paul Finch.
Kevin very confident and he is dating a long time girl while Jim is naïve sexually and awkward socially.
Finch is a sports guy and loves cappuccino while Oz a member of lacrosse team in the school.
They differ very much in their personalities but all are virgins.
American pie was set in 1999 and focus on a group of friends who are in their senior year. It is set in East Great Fall high school west Michigan. They are Kevin Myers, Oz, Jim Levenstein and Paul Finch. Kevin is very confident and he is dating a long time girlfriend while Jim is naïve sexually and awkward socially. Finch is a sports guy and loves cappuccino while Oz a member of lacrosse team in the school. They differ very much in their personalities but all are virgins.
2
Review
They are invited to a party as they are used to regularly.
Each of them attempt to hit on girls and they loose their virginity same night.
The next morning they start talking about the next step in achieving success in sexual acts.
After some time Oz joins choir as Kevin chase on a lady he met in the party (Batanovic et.al, 2016).
Oz becomes vocalist in the choir as a way to regain his reputation with people.
Jim loses his sanity and uses a fresh baked pie to have sex and he is caught by the father.
They are invited to a party as they are used to regularly. Each of them attempt to hit on girls and they loose their virginity same night. The next morning they start talking about the next step in achieving success in sexual acts. After some time Oz joins choir as Kevin chase on a lady he met in the party. Oz becomes vocalist in the choir as a way to regain his reputation with people. Jim loses his sanity and uses a fresh baked pie to have sex and he is caught by the father.
3
Review
Jim starts as an inexperienced guy who proved to Nadia as an embarrassing person.
However all worked well at the end as he spent a night with an annoying fellow friend Michelle.
Oz on the other hand started as an immature athlete and hopped to find a girlfriend.
He later joined choir in a bid to look for a girl and a mate where he ended up falling for Heather (Batanovic et.al, 2016).
Kevin later broke up with Vicky a very nice girl but later slept together and later started looking for his first girlfriend.
Jim starts as an inexperienced guy who proved to Nadia as an embarrassing person. However all worked well at the end as he spent a night with an annoying fellow friend Michelle. Oz on the other hand started as an immature athlete and hopped to find a girlfriend. He later joined choir in a bid to look for a girl and a mate where he ended up falling for Heather. Kevin later broke up with Vicky a very nice girl but later slept together and later started looking for his first girlfriend.
4
Review
The movie is funny because the characters are not into the joke and they are embarrassed.
Viewers share the embarrassment as they find it funny.
Humor is happening when the characters are the victims of the acts and not perpetrators (Batanovic et.al, 2016).
Humor is generated by the content and not the context. American pie observes the rules of comedy and it involves sexual content.
However, it is too advanced for high school.
The movie is funny because the characters are not into the joke and they are embarrassed. Viewers share the embarrassment as they find it funny. Humor is happening when the characters are the victims of the acts and not perpetrators. Humor is generated by the content and not the context. American pie observes the rules of comedy and it involves sexual content. However, it is too advanced for high school.
5
References
Batanovic, V., Nikolic, B., & Milosavljevic, M. (2016). Reliable Baselines for Sentiment Analysis in Resource-Limited Languages: The Serbian Movie Review Dataset. In LREC.
Matthews, J. (2019). Movie Review: Green Book.
Dey, L., Chakraborty, S., Biswas, A., Bose, B., & Tiwari, S. (2016). Sentiment analysis of review datasets using naive bayes and k-nn classifier. arXiv preprint arXiv:1610.09982.
Wang, J. H., & Liu, T. W. (2017, June). Improving sentiment rating of movie review comments for recommendation. In 2017 IEEE international conference on consumer electronics-Taiwan (ICCE-TW) (pp. 433-434). IEEE.
Barriere, V., Clavel, C., & Essid, S. (2018). Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields. arXiv preprint arXiv:1806.07787.
