Computer scientists have developed what they call “sentiment analysis” software that can automatically determine how someone feels based on what they write or say. To test out the accuracy of this software’s machine-learning model, the team used it to analyze the individual sentiments of more than 1.6 million (and counting) geo-tagged tweets about the U.S. presidential election over the last five months.