Tonality & Sentiment Analysis

Description

The language of incoming messages is detected automatically. Based on the result appropriate Natural Language Processing is applied to determine the tonality (sentiment) of each message. Besides other methods we apply Naïve Bayes classification and word vectors. The step of automatic text analysis is particularly adapted and optimized for the domain of financial markets. For example, the word “long” has a very unique (positive) meaning in the context of financial markets whereas it might mean s

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Stockpulse

StockPulse analyzes communication on financial topics in publicly accessible social media and news sources. Software evaluates hundreds of thousands of opinions and news articles every day and shows at a glance, how much and in what kind of mood people discuss about financial markets. Using latest Big Data technology, communication on stocks, indices, commodities, currency pairs and major market events is monitored and evaluated in real-time 24/7. Moreover, the software automatically generates b

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