https://github.com/tetsumichiumada/tv_script_generation
generate Simpsons TV scripts using RNNs.
https://github.com/tetsumichiumada/tv_script_generation
long-short-term-memory python recurrent-neural-networks tensorflow
Last synced: about 2 months ago
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generate Simpsons TV scripts using RNNs.
- Host: GitHub
- URL: https://github.com/tetsumichiumada/tv_script_generation
- Owner: TetsumichiUmada
- Created: 2019-01-08T21:26:41.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-01-08T21:45:04.000Z (over 6 years ago)
- Last Synced: 2025-06-14T12:43:27.566Z (4 months ago)
- Topics: long-short-term-memory, python, recurrent-neural-networks, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 319 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# TV Script Generation
In this project, we generate our own [Simpsons](https://en.wikipedia.org/wiki/The_Simpsons) TV scripts using RNNs. We are using part of the [Simpsons dataset](https://www.kaggle.com/wcukierski/the-simpsons-by-the-data) of scripts from 27 seasons. The Neural Network we build will generate a new TV script for a scene at [Moe's Tavern](https://simpsonswiki.com/wiki/Moe's_Tavern).
## Dataset
The original data set is downloaded from the [Simpsons dataset](https://www.kaggle.com/wcukierski/the-simpsons-by-the-data) of scripts from 27 seasons. It contains:
```
Roughly the number of unique words: 11492
Number of scenes: 262
Average number of sentences in each scene: 15.248091603053435
Number of lines: 4257
Average number of words in each line: 11.50434578341555
```
## Generated script
Here is an example that the RNN model generated after training 60 epochs (it achieved training loss 0.165). The prime word is `moe_szyslak`
```
moe_szyslak: ah, she got homesick for her old life, diving for tourist pennies in a micronesian swamp.
homer_simpson: oh, cold shoulder, right! andalay!
moe_szyslak:(too big) hanh?!!!
all:(ad lib) oh, sweet mother fat tony.
moe_szyslak:(sighs) i think
barney_gumble: uh-oh. my wife was the last of the family-owned teams.
lenny_leonard: i tried to return my season ticket, but they wouldn't an day, ever will the pigs.
wayne: i'm really more like me, and get to dinner.
walther_hotenhoffer: nein... nein... nein... nein... nein... we got the cash. my clientele-- let it ring; /mr. plow is a ticket. my wife is, moe. i don't know nothin' about how i do anything.
moe_szyslak: i had to get edna out of springfield, and that's it?
moe_szyslak: no, i tells ya, homer.
homer_simpson:(looking at watch)
```
## Getting Started
1. Clone the repository and navigate to the downloaded folder.
```
https://github.com/TetsumichiUmada/tv_script_generation.git
cd tv_script_generation
```
2. Install required packages.
```
pip install -r requirements.txt
```
3. Open the notebook.
```
jupyter notebook tv_script_generation.ipynb
```
## Acknowledgments
* [Udacity Deep Learning Nanodegree Program](https://www.udacity.com/course/deep-learning-nanodegree--nd101)