News Signals

Example Colab Notebooks

These notebooks let you try out news-signals without installing anything!

• Create a Signals Dataset from a CSV of Entity Names
• Find Emerging Categories in a Newsfeed - Video
• Searching the Aylien NewsAPI Using An Entity Name - Video
• An Overview of News Signals Datasets - Video

The Colab notebooks above are also available as jupyter notebooks in research/news-signals-example-notebooks

2023-11-30: NEW: Create_Wikimedia_Signals.ipynb shows how to build and explore a WikimediaSignal which does not a NewsAPI account and works out-of-the-box for anyone.

Quickstart

Install news-signals in a new environment

conda create -n test-signals-pypi python=3.8
conda activate test-signals-pypi

pip install news-signals

Look at a sample dataset

Do pip install jupyter in your environment,

then run the code below in a jupyter notebook or in in the (i)python repl.

from news_signals.signals_dataset import SignalsDataset

# nasdaq100 sample dataset
dataset_url = 'https://drive.google.com/uc?id=150mfU2YA4ScfTlJvO6Duzto4aT_Q7K3D'

dataset = SignalsDataset.load(dataset_url)

Now try:

import matplotlib.pyplot as plt


fig = dataset.plot()
plt.show()

See the API Documentation for more info.

Installation from source

Install news-signals in a new environment

Run conda create -n news-signals python=3.8 if you're using Anaconda, alternatively python3.8 -m venv news-signals or similar. Note python>=3.8 is required.

source activate news-signals
git clone https://github.com/AYLIEN/news-signals-datasets.git
cd news-signals-datasets
pip install -r requirements.txt
pip install -e . # install in editable mode
make test   # run tests

Setting up Aylien NewsAPI credentials

The news-signals library looks for environment variables called 'NEWSAPI_APP_ID' and 'NEWSAPI_APP_KEY' - these are used to authenticate to the NewsAPI.

One way to set these variables up for local development is to Put your Aylien NewsAPI credentials in a file called ~/.aylienconfig .aylienconfig

app-id=<your-app-id>
app-key=<your-app-key>

Then put the following in your .bashrc or similar shell config file:

export NEWSAPI_APP_ID=$(cat ~/.aylienconfig | grep "app-id" | cut -d'=' -f2)
export NEWSAPI_APP_KEY=$(cat ~/.aylienconfig| grep "app-key" | cut -d'=' -f2)

Generating a new Dataset

Generate a new signals dataset as follows:

make create-dataset DATASET_CONFIG=resources/dataset-config-example.json

The config file specifies all relevant settings for a dataset, e.g. time range. Some examples that we used to create our provided example datasets:

• dataset-config-nasdaq100.json
• dataset-config-smp500.json

A more detailed guide on generating new datasets is here: dataset-generation.md

Anomaly Classification Experiments

These currently live here.