Sentiment Based Movie Rating System

This guide provides an overview of creating a Sentiment Based Movie Rating System. The system leverages sentiment analysis to evaluate user reviews and generate movie ratings, offering a more nuanced understanding of movie reception.

System Overview

The Sentiment Based Movie Rating System includes the following features:

• User Review Submission: Allow users to submit reviews and ratings for movies.
• Sentiment Analysis: Analyze the sentiment of user reviews using natural language processing (NLP) techniques.
• Rating Calculation: Compute movie ratings based on the sentiment analysis results.
• Movie Rating Display: Show the calculated ratings on the movie's page.
• Admin Dashboard: Provide an interface for administrators to manage reviews and view analysis results.

Implementation Guide

Follow these steps to develop the Sentiment Based Movie Rating System:

1. Define Requirements and Choose Technology Stack

   Determine the core features and select technologies for development:

   • Frontend: Use HTML, CSS, and JavaScript frameworks like React or Angular for a dynamic user interface.
   • Backend: Implement server-side logic with PHP or Node.js using frameworks like Laravel or Express.js.
   • Database: Store user reviews, movie information, and ratings using relational databases like MySQL or PostgreSQL.
   • Sentiment Analysis: Use NLP libraries or services for sentiment analysis (e.g., TextBlob, VADER, or TensorFlow).

2. Develop User Review Submission

   Create functionalities for users to submit movie reviews and ratings:

   
                           // Example PHP code for submitting a review
                           function submitReview($movieId, $userId, $reviewText, $rating) {
                               $stmt = $pdo->prepare("INSERT INTO reviews (movie_id, user_id, review_text, rating) VALUES (?, ?, ?, ?)");
                               $stmt->execute([$movieId, $userId, $reviewText, $rating]);
                               return "Review submitted successfully";
                           }
                           // Usage
                           echo submitReview(1, 1, 'Great movie with amazing plot!', 5);
                       

3. Implement Sentiment Analysis

   Analyze the sentiment of user reviews to determine positive, negative, or neutral sentiments:

   
                           # Example Python code for sentiment analysis using TextBlob
                           from textblob import TextBlob
   
                           def analyze_sentiment(review_text):
                               blob = TextBlob(review_text)
                               sentiment = blob.sentiment.polarity
                               if sentiment > 0:
                                   return 'Positive'
                               elif sentiment < 0:
                                   return 'Negative'
                               else:
                                   return 'Neutral'
                           
                           # Usage
                           print(analyze_sentiment('Great movie with amazing plot!'))
                       

4. Calculate Movie Ratings

   Compute movie ratings based on sentiment analysis results and user ratings:

   
                           // Example PHP code for calculating movie rating
                           function calculateMovieRating($movieId) {
                               $stmt = $pdo->prepare("SELECT rating FROM reviews WHERE movie_id = ?");
                               $stmt->execute([$movieId]);
                               $ratings = $stmt->fetchAll(PDO::FETCH_COLUMN);
                               $averageRating = array_sum($ratings) / count($ratings);
                               return round($averageRating, 1);
                           }
                           // Usage
                           $rating = calculateMovieRating(1);
                           echo "Average Movie Rating: $rating";
                       

5. Display Movie Ratings

   Show the calculated movie ratings on the movie's page:

   
                           
                           <div class="movie-rating">
                               <h3>Movie Title</h3>
                               <p>Rating: <span id="rating">4.5</span>/5</p>
                           </div>
                       

6. Create Admin Dashboard

   Develop an interface for administrators to manage reviews and view sentiment analysis results:

   
                           
                           <table>
                               <tr>
                                   <th>Movie Title</th>
                                   <th>Number of Reviews</th>
                                   <th>Average Rating</th>
                                   <th>Actions</th>
                               </tr>
                               
                           </table>
                       

7. Testing and Deployment

   Thoroughly test the system to ensure it functions correctly. Deploy the system to a secure web server and ensure it is scalable and reliable.