Before revision:  As strong concerns and emotions are expressed in the tweets, we analysed the tweets content using natural language processing techniques and machine-learning based algorithms, and inferred seventeen latent semantic attributes associated with each tweet, including 1)
After revision:  As strong concerns and emotions are expressed in the tweets, we analysed the tweets content using natural language processing techniques and machine learning based algorithms, and inferred seventeen latent semantic attributes associated with each tweet, including 1)