Abstract:In order to promote the service quality of the inspection and testing (IT) industry, the IT service quality rating and user service demand are used as the entry point, and a deep learning method based on long and short-term memory network (LSTM) is adopted, an evaluation system including five dimensions: tangibility, reliability, responsiveness, security and empathy is designed, and the inspection and testing - service quality - long and short-term memory network - sentiment analysis model (IT -QoS-LSTM-SA) to evaluate and provide feedback on the quality of service (QoS) of IT service organizations, and more than 70,000 relevant text data are applied for empirical evidence. The results show that LSTM model achieves an accuracy rate of 85.24% in the classification of IT user reviews; the overall rating of IT service quality is 0.491 6 according to sentiment analysis (SA)., which is between satisfactory and very satisfactory . This can visually see the quality of IT services in the degree of merit of each evaluation index.