We bring the data from the social networking site Twitter
pages, and then we have worked on cleaning and processing
operation to the text of for the classification process texts retrieved
contain a lot of noise and information is useful for the pr
ocess of
analyzing the views, such as advertisements and links and e-mail
addresses and the presence of many words that do not affect the
general orientation of the text, and then get all the publications in
the Twitter page and what are the comments about each tweets is
intended to know the proportion of supporters and opponents of
this publication.
We apply Naïve Bayes algorithm in classification, we had the
appropriate training, and after passing Posts and comments data
(opinions), we got good results on the ratio of supporters of the
post and the percentage of his opponents.
With the increase in social networks, people have started to share information via different types of social media. Among themwere sites for exchanging people's opinions and others to exchange stories about real life and stories for children. In this
work we made use of children's stories and employed them to teach children with Down syndrome the correct feelings by reading a story for them, converting it into text, processing the text using natural languages and extracting feelings automatically from This story, and to achieve this, we used several techniques, combined them, and compared their results on a number of short stories dedicated to children, where each of the different techniques that were unsupervised, such as Dictionary Based or supervised, such as data-dependent neural networks, were used to analyze feelings, where we used multiple classifiers. They are Support Vector Machine, Stochastic Gradient Descent, Decision Tree, Random Forest, Naïve Bayes, K-Nearest Neighbor, and Nearest Centroid We also used deep neural networks as the example of RNN. Finally, the correct sentiment for the story was reached through Dictionary Based which gave the best accuracy and then showed a photo that shows the child the expression they want to start with The events of this story to interact with him and learn the correct expression
