https://github.com/howardyclo/digestant

Modules for effectively digesting data from Twitter and Reddit using ML, NLP and statistics.
https://github.com/howardyclo/digestant

machine-learning named-entity-recognition natural-language-processing reddit summarization topic-modeling

Last synced: about 1 month ago
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Modules for effectively digesting data from Twitter and Reddit using ML, NLP and statistics.

• Host: GitHub
• URL: https://github.com/howardyclo/digestant
• Owner: howardyclo
• Created: 2017-07-18T09:15:06.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T00:44:05.000Z (about 2 years ago)
• Last Synced: 2023-03-04T03:54:27.256Z (almost 2 years ago)
• Topics: machine-learning, named-entity-recognition, natural-language-processing, reddit, summarization, topic-modeling
• Language: Jupyter Notebook
• Homepage:
• Size: 165 MB
• Stars: 8
• Watchers: 5
• Forks: 5
• Open Issues: 16
• Metadata Files:
  • Readme: README.md

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README

        
# Digestant

See more on [introduction slides](https://docs.google.com/presentation/d/18flIvwADXwQum-8xY6I3nSSQmWzqJCRrtQa9y23zVcM/edit?usp=sharing), [project survey](https://hackmd.io/s/rkh_rJY4-) and [demo](https://github.com/YuChunLOL/Digestant/blob/master/demo/demo_howard.ipynb).

## Dev Environment

- Python 3.x

## Setup

- Recommended to create a new virtual environment to manage your python project.

- Download python packages from `requirements.txt`: `$ pip install -r requirements.txt`.

- Download NLTK data: `$ python -m nltk.downloader all`.

- Download SpaCy **`en_core_web_md`** model: `$ python -m spacy download en_core_web_md`.

- Download `stanford-ner-xxxx-xx-xx` zip file Stanford NER model

  1. Download from [the official website](https://nlp.stanford.edu/software/stanford-ner-2017-06-09.zip).

  2. Unzip and place the `stanford-ner-xxxx-xx-xx` folder the project root path. The name of folder should also be **`stanford-ner/`**.

## Usage

1. Create a twitter and reddit account, follow the accounts that you are interested in.

2. Copy `config-sample.json` and rename it to `config.json` in the same directory. Remember to fill the keys in `config.json`. (Go to your twitter/reddit developer console, create application and get keys.)

3. We need to crawl twitter data, so run the script `crawlers/twitter_crawler.py`. It will automatically crawl data and save them to `dataset/twitter/` by default.

4. You can customize data entities by modifying `domains.json` and `types.json`. (See [demo](https://github.com/YuChunLOL/Digestant/blob/master/demo/demo_howard.ipynb))

5. Currently, you can execute [`demo/demo_howard.ipynb`](https://github.com/YuChunLOL/Digestant/blob/master/demo/demo_howard.ipynb) or other notebooks to see daily digest.