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Accessing the News API in Python

27/01/2021

Accessing and analyzing media content is a fascinating part of data analytics. It allows to follow trends of public interest over time or to see how stories evolve (e.g. newslens ). While many media outlets offer APIs, it is cumbersome to collect them individually. News API closes that gap and allows to search and retrieve live articles from all over the web. In this tutorial we will retrieve the latest news...

Making binary annotations less boring

31/07/2020

Introduction For a university project, I’m developing a Music recommendation classifier based on the Spotify API. The idea is to recommend new music to the user, based on songs he personally likes or dislikes and on the musical components of the song (speed, tonality, instrumentality and many more). The preparation of the dataset usually is the most time-consuming part of any machine learning project. This usually consists of gathering...

Building a simple sentiment classifier in R using Trump's tweets

12/08/2019

For the past few years, tasks involving text and speech processing have become really hot-trendy. Among the various researches belonging to the fields of Natural Language Processing and Machine Learning, sentiment analysis ranks really high. Sentiment analysis allows identifying and getting subjective information from the source data using data analysis and visualization, ML models for classification, text mining and analysis. This helps to...

OpenFIGI & PermID API: Accessing Financial Market Instruments’ Unique Identifiers in Python

03/01/2019

In financial markets, tradable instruments and securities have unique identifiers. The identifiers are very useful, because you can make sure that you and your counterparty are talking about the same instrument while trading. The difficulty is that there isn't really a standard for all the various sorts of instruments or markets. Anyone working in the industry will recognize this issue, especially people working at larger institutions who...

Using Python to access the Bank of England's Statistical Interactive Database (IADB)

17/11/2018

In this we will retrieve data from the Bank of England's Statistical Interactive Database (IADB) using Python 3 . Please take a look at the following sites to get a feel for what kind of data is available: https://www.bankofengland.co.uk http://www.bankofengland.co.uk/boeapps/iadb/ As an , we will take a look at the fixed mortgage interest rates in the UK since the year...

Accessing ECB Exchange Rate Data in Python

18/10/2018

In this Jupyter Notebook we will retrieve data from the European Central Bank (ECB). The ECB publishes through the European Open Data Portal, which we discussed in the previous tutorial . Before diving into the code, please take a quick look at the following websites, to get a feel for what we will be dealing with. EU portal: https://data.europa.eu/euodp/en/data/publisher/ecb ECB SDMX 2.1 RESTful web service:...

EU Open Data Portal API: A short guide

03/10/2018

The EU Open Data Portal gives access to open data published by EU institutions, agencies and other bodies. Around 70 EU institutions, bodies or departments use the platform to make over 12,500 datasets available. In this Jupyter Notebook we will retrieve data from open data portal " http://data.europa.eu/euodp/en/home ". The portal is based on the open source project CKAN. CKAN stands for Comprehensive Knowledge Archive...

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