A Literature Analysis for the Identification of Machine Learning and Feature Extraction Methods for Sentiment Analysis
Markus Haberzettl, Bernd Markscheffel · 2018
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.