Graduation_project

Sentiment analysis website

Our scope here is

• collecting data from social media like twitter, by fetching the tweets from it using twitter API.
• Also scrape Amazon data to collect more reviews on the products.
• Analyze the data collected from both platforms in order to provide the users with charts contain summarizations abou negative and positive tweets for what they are searching for

Our objective is to make a sentiment analysis website that will be able to do the following:

• Search for such product (Ex. iPhone 11) and then analysis will be made on tweets extracted from both twitter and amazon and show charts with what people think or say about him (Positive & Negative) and show a sample of the tweets and amazon reviews fetched with the sentiment’s status beside.
• Users will be able to register to save all the liked topics they searched for in order to get back to the tweets and charts and to track the updates made about these topics.

Lessons that the project team learn

• scraing websites using Python (Beautiful Soup).
• working with API’s (Twitter API).
• showing creative charts using chart.js
• Data Cleaning, Analysis and Visualization using Python
• Modeling different machine learning algorithms using Python (scikit-learn)
• Testing data prediction is hugely affected by the model trained data
• How to integrate model with the website using Django framework