diff --git a/.ipynb_checkpoints/rmd_test-checkpoint.ipynb b/.ipynb_checkpoints/rmd_test-checkpoint.ipynb new file mode 100644 index 000000000..cbfb5040f --- /dev/null +++ b/.ipynb_checkpoints/rmd_test-checkpoint.ipynb @@ -0,0 +1,53 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d976f11f", + "metadata": {}, + "source": [ + "# Into the Male Gaze\n", + "## A story of Representation in Cinema\n", + "\n", + "\n", + "\n", + "### About CMU Movie Summary Corpus\n", + "All data comes from the CMU Movie Summary Corpus Datasets. CMU Movie Summary is an open corupus containing 42,306 movie plot summaries extracted from wikipedia, as well as metadeta from Freebase including revenues, genres, release dates, runtimes, languages, character names, and actor information. It was compiled by the Language Technologies Institute and Machine Learning Department at Carnegie Mellon University. Movie data ranges from 1888 to 2016. The CMU Corpus is publically available [here](http://www.cs.cmu.edu/~ark/personas/).\n", + "\n", + "### Framing our Research\n", + "Art imitates life and life imitates art - Cinema has the power to capture the zeitgeist of an era. In this project we will be studying gender representation in cinema to better understand trends in societal sentiments. Our goal is to assess if representations differ by gender and if they have evolved through time. This project is motivated by the fact that the 20th century was a time of dynamic social upheavel and mobility, e.g., in Switzerland, womens sufferage at the federal level was granted as late as 1971.\n", + "This project is predicated on the idea that character portrayal in cinema serves as a mirror for society, which gave rise to the character. Character focused analysis will lean heavily on Stanford NLP library in order to understand lexical groups by which characters are represented.\n", + "\n", + "### Cinema's Increasing Importance\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56e2658f", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python [conda env:ada] *", + "language": "python", + "name": "conda-env-ada-py" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/README.md b/README.md index 129af04b1..8ce6f6ad0 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,13 @@ -# ADA Template Website -## Usage -1. Fork (copy) this repository by clicking the "Fork" button on the top right corner. -2. Go to "Settings" -> "Pages" in your forked repository. Under "Branch" change "None" to "master" and click "Save". -3. Edit the `_config.yml` file in your forked repository to change the site title (after `title:`) and description (after `description:`). -4. Build your own page by editing this `README.md` (home page) and creating new `.md` files (other pages), formatting is done with standard [GitHub Markdown syntax](https://docs.github.com/en/get-started/writing-on-github/getting-started-with-writing-and-formatting-on-github/basic-writing-and-formatting-syntax), we provide an example file `example.md` in the repository. -**Important**: Please include ```--- layout: default ---``` (the first three line in `example.md`) at the beginning of your every newly created `.md` file. -5. Add your new `.md` files to the site by editing the `_config.yml` file in your forked repository. Under `navigation:` add a new pair of `- title:` and `url:`, and fill their value with your page name and `.md` file name. Remember to remove the `- title:` and `url:` pair for the example page. -6. Go back to "Settings" -> "Pages" to find your website link. +# Into the Male Gaze +## A story of Representation in Cinema + + + +### About CMU Movie Summary Corpus +All data comes from the CMU Movie Summary Corpus Datasets. CMU Movie Summary is an open corupus containing 42,306 movie plot summaries extracted from wikipedia, as well as metadeta from Freebase including revenues, genres, release dates, runtimes, languages, character names, and actor information. It was compiled by the Language Technologies Institute and Machine Learning Department at Carnegie Mellon University. Movie data ranges from 1888 to 2016. The CMU Corpus is publically available [here](http://www.cs.cmu.edu/~ark/personas/). + +### Framing our Research +Art imitates life and life imitates art - Cinema has the power to capture the zeitgeist of an era. In this project we will be studying gender representation in cinema to better understand trends in societal sentiments. Our goal is to assess if representations differ by gender and if they have evolved through time. This project is motivated by the fact that the 20th century was a time of dynamic social upheavel and mobility, e.g., in Switzerland, womens sufferage at the federal level was granted as late as 1971. +This project is predicated on the idea that character portrayal in cinema serves as a mirror for society, which gave rise to the character. Character focused analysis will lean heavily on Stanford NLP library in order to understand lexical groups by which characters are represented. + +### Cinema's Increasing Importance diff --git a/assets/img/Duality.jpg b/assets/img/Duality.jpg new file mode 100644 index 000000000..ec58626c4 Binary files /dev/null and b/assets/img/Duality.jpg differ diff --git a/assets/img/Inversion.jpg b/assets/img/Inversion.jpg new file mode 100644 index 000000000..b25d514e1 Binary files /dev/null and b/assets/img/Inversion.jpg differ diff --git a/assets/img/Nice_Couple.jpg b/assets/img/Nice_Couple.jpg new file mode 100644 index 000000000..fa9f4e344 Binary files /dev/null and b/assets/img/Nice_Couple.jpg differ diff --git a/assets/img/Nice_Gift.jpg b/assets/img/Nice_Gift.jpg new file mode 100644 index 000000000..9d0aa00c3 Binary files /dev/null and b/assets/img/Nice_Gift.jpg differ diff --git a/assets/img/OMG.jpg b/assets/img/OMG.jpg new file mode 100644 index 000000000..4034d82f8 Binary files /dev/null and b/assets/img/OMG.jpg differ diff --git a/assets/img/Pan_Throw.jpg b/assets/img/Pan_Throw.jpg new file mode 100644 index 000000000..c2f8bf25c Binary files /dev/null and b/assets/img/Pan_Throw.jpg differ diff --git a/assets/img/Selfie.jpg b/assets/img/Selfie.jpg new file mode 100644 index 000000000..be7347afb Binary files /dev/null and b/assets/img/Selfie.jpg differ diff --git a/assets/img/Showtime.jpg b/assets/img/Showtime.jpg new file mode 100644 index 000000000..4dcd728b8 Binary files /dev/null and b/assets/img/Showtime.jpg differ diff --git a/assets/img/The_End.jpg b/assets/img/The_End.jpg new file mode 100644 index 000000000..ecf38dd71 Binary files /dev/null and b/assets/img/The_End.jpg differ diff --git a/rmd_test.ipynb b/rmd_test.ipynb new file mode 100644 index 000000000..cbfb5040f --- /dev/null +++ b/rmd_test.ipynb @@ -0,0 +1,53 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d976f11f", + "metadata": {}, + "source": [ + "# Into the Male Gaze\n", + "## A story of Representation in Cinema\n", + "\n", + "\n", + "\n", + "### About CMU Movie Summary Corpus\n", + "All data comes from the CMU Movie Summary Corpus Datasets. CMU Movie Summary is an open corupus containing 42,306 movie plot summaries extracted from wikipedia, as well as metadeta from Freebase including revenues, genres, release dates, runtimes, languages, character names, and actor information. It was compiled by the Language Technologies Institute and Machine Learning Department at Carnegie Mellon University. Movie data ranges from 1888 to 2016. The CMU Corpus is publically available [here](http://www.cs.cmu.edu/~ark/personas/).\n", + "\n", + "### Framing our Research\n", + "Art imitates life and life imitates art - Cinema has the power to capture the zeitgeist of an era. In this project we will be studying gender representation in cinema to better understand trends in societal sentiments. Our goal is to assess if representations differ by gender and if they have evolved through time. This project is motivated by the fact that the 20th century was a time of dynamic social upheavel and mobility, e.g., in Switzerland, womens sufferage at the federal level was granted as late as 1971.\n", + "This project is predicated on the idea that character portrayal in cinema serves as a mirror for society, which gave rise to the character. Character focused analysis will lean heavily on Stanford NLP library in order to understand lexical groups by which characters are represented.\n", + "\n", + "### Cinema's Increasing Importance\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56e2658f", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python [conda env:ada] *", + "language": "python", + "name": "conda-env-ada-py" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}