In: Computer Science
Is sentiment analysis on amazon dataset is an easy task for bachelor student in computer science. Is sentiment analysis is easier than convolutional neural network? I want to take project for final semester. I use sentiment analysis for product rating according to user reviews/comments.
Choose sentiment analysis or not?
Dear Learner,
Let's talk about the topic Sentiment Analysis.
Sentiment Analysis is an application of Machine Learning. Where the machine has to predict the Sentiment of a given text based on the words.
Lately, it has gained immense popularity among giant companies as this helps the latter to understand the requirements of their customer. Companies also can deduce the specific target areas where the should increase their investment. So if you chose this as your project it will have a very good impact on your CV.
So you CAN chose this as your topic. But, if you are learning for the first time and do not have much prior experience with text mining, I suggest you start with a smaller dataset (like IMDB reviews,etc).
Now coming to your second question. Convolutional Neural Network (CNN) an Sentiment Analysis are totally different things. Sentiment Analysis is an application, whereas CNN is a method, or you can say, technique you use for classification/prediction.
Infact, researchers have even tried to do Sentiment Analysis using CNNs, which is an interesting topic but might be too big for you.
So to sum up, I suggest that you select a small topic/dataset in Sentiment Analysis so not only the project will have an impact on your CV but also would not be a herculean task.
I hope I have answered your question the way you were expecting. If you still have any doubts or queries, feel free to ask us in the comment section.
Please leave a like if this was helpful.
All the best for your project.