Research On Twitter Emotion Classification Based On Machine Learning

Twitter is the site of a foreign social networking and micro blogging service.People often share their feelings,evaluation of a commodity or the attitude of something on Twitter.By analyzing those,the sentiment tendency classification is judged to obtain the information that people want.Twitter sentiment analysis appears under this background.Many domestic and foreign scholars have carried on the.emotion analysis to Twitter.In order to classify the emotion accurately,and balance the accuracy and consumption of time,the experiment was carried out.The experiments reproduce the three different classification methods,using different feature sets,to complete the emotion classification of a given tweet.Then,combining these three methods,the average score of three emotions of each classifier is calculated,which determines the polarity of the emotion.The experimental results show that the performance of the classifier is improved compared with the original afterreproduced.The performance of the classifier is very high,and the detection results can be directly applied to other Twitter emotion detection.