Update README.md

README.md

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 # PaddlePaddle/uie-senta-base
 
-Sentiment analysis is a research hotspot in recent years, aiming at analyzing, processing, summarizing and reasoning emotionally subjective texts. Sentiment analysis has a wide range of application scenarios and can be applied to consumer decision-making, public opinion analysis, personalized recommendation and so on.
+Sentiment analysis is a research hotspot in recent years, aiming at analyzing, processing, summarizing and reasoning emotionally subjective texts. Sentiment analysis has a wide range of application scenarios and can be applied to consumer decision making, public opinion mining, personalized recommendation and so on.
 
 According to the analysis granularity, it can be roughly divided into three categories: document-level sentiment analysis, sentence-level sentiment analysis and aspect-level sentiment analysis. Among them, aspect-level sentiment analysis includes multiple subtasks, such as aspect term extraction, opinion term extraction, aspect-opinion-sentiment triplet extraction, etc.
 
@@ -34,7 +34,7 @@ UIE-Senta is a type of Chinese sentiment analysis model, which uses UIE as backb
 
 ## Performance on Text Dataset
 
-We conducted experiments to compare the performance different Models based on a self-built test set, which containing samples from multiple fields, such as hotel, restaurant，clothes and so. The comparison results are as follows.
+We conducted experiments to compare the performance different Models based on a in-house test set, which containing samples from multiple fields, such as hotel, restaurant，clothes and so. The comparison results are as follows.
 
 |      Model Name     |  Precision  |    Recall   |      F1     |
 |  :----------------: |  :--------: |  :--------: |  :--------: |