A Literature Analysis for the Identification of Machine Learning and Feature Extraction Methods for Sentiment Analysis

Abstract

The increase in daily emails sent to the customer service of companies is creating new challenges. Sentiment analysis, i.e. the automated recognition of mood and polarity in texts, is a solution to this problem, but the sentiment analysis of German emails is still an open research problem. With the help of a literature analysis we identify and analyze the most relevant machine learning methods and the corresponding feature extraction methods.