EXIOBASE update: v3.8

We just released a new update for the EXIOBASE 3 MRIO time-series of monetary tables: v3.8.

It is a full re-estimate of the time-series, but still relies heavily on "now-casting" economic structure (and environmental extensions).

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Sentiment Analysis with VADER

Sentiment Analysis with VADER

Sentiment analysis estimates whether whether a piece of text is negative, neutral or positive. There are two approaches towards sentiment analysis: binary or polarity based or intensity/valence based. The polarity based only provides information if a certain text is postive or negative. For example, 'good' and 'perfect' would score the same. In contrast, a valence based sentiment analysis also takes the intensity of a word into account, therefore giving a higher value to 'perfect' in the example above.

One of the major applications of sentiment analysis is judge social media streams (Twitter, facebook posts). For example, companies use it to identify negative feedbacks on social media and react/answer to them.

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Live streaming tweet for hashtags

Streaming of tweets for hashtags and keywords

This notebook explains how to search the live twitter stream for certain hashtags and keywords. The gathered tweets are stored as text files and further processed into a panda DataFrame.

The script is designed for long term streaming with gathered tweets stored in succeeding files.

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