SRS Prediction of TV Show Popularity based on Sentiment Analysis
TV show popularity prediction using Sentiment analysis is one of the most interesting and
challenging tasks. Episode of a particular TV show released on weekends or holidays may attract more audience than those on weekdays. Furthermore, since different episodes are usually released on different days, the popularity prediction for TV shows is one of the interesting tasks. Easy prediction of TV show which is trending based on individual ratings can be done. Good, bad and neutral comments can be predicted based on reviews or comments. Due to this the visitor will get to know the show popularity. Reality TV is the new mantra of television producers and channel executives. The main purpose of this project is to find the ratings based on the user’s comments. Nowadays, most of the television shows are reality shows based on singing, acting, morning shows and Ramadan transmissions. There are many shows telecasting in different channels. There are many
ways to find out the view count. We can find out which show has the highest rating and
considered as the most viewed show. Application developer will use a database of sentiment based keywords along with positivity or negativity weight in database and then based on these sentiment keywords mined in user comment is ranked and predict the popularity.
Scope of Project Prediction of TV Show Popularity based on Sentiment Analysis:
Project scope is the part of project planning that involves determining and documenting a list of specific project goals, deliverables, tasks, costs and deadlines. Defining the project scope involves adopting a clear vision and an agreement on the outcomes of the project. This allows each milestone of the project to stay on target
Functional and Non Functional Requirements of Prediction of TV Show Popularity based on Sentiment Analysis:
Functional Requirements :
A functional requirement shows that what the system must do what services the system present to users. It describes a software system or its component. A function is nothing but inputs to the software system, its behavior, and outputs
Functional Requirements of Prediction of TV Show Popularity based on Sentiment Analysis:
a. Login: Admin need to login into the system by inputting the login credentials.
b. Add Pages: Admin will add page details such as page name and page link (details of
c. Graphical Representation: Admin can generate 5 graph (Pie Chart & Bar Chart)
based on Age, Gender, Location, Comment’s Sentiment based on peoples review on
each TV Show. This will help the users to know about the popular/trending TV shows.
User login’s to the system/application by using his/her user ID and password.
User can edit his/her profile details along with display picture.
User will post comments on the uploaded TV shows posted by the admin.
User can also view comment of other users posted on different/uploaded TV shows.
Users should be able to comment on stored TV shows only once. The system stores each
comments of the users for further processing and find out the sentiments and their
weightage and store it in database.
The stored comments of the users will be analyzed by the system with the help of
sentiwordnet dictionary and will rate/rank the show accordingly.
User can easily decide whether the uploaded TV shows by the admin/ system are good, bad
or worst based on sentiment classification.
NON-FUNCTIONAL REQUIREMENTS Prediction of TV Show Popularity based on Sentiment Analysis:
- Application is user friendly.
- Application Perform fast manipulation and calculations.
- Application is adaptable.
- Application will be able to work on all types of operating systems.
- Application will be capable to handle multi user activities simultaneously.
- There will be back up system to face any problem in system
- All the options should be learning friendly I.e. member could easily understand what that option will do if he clicked on it.
- Response Time is very awesome.
Some others are:
- Fault Tolerance.
Use Case Diagram of Diagnosis of Prediction of TV Show Popularity based on Sentiment Analysis
a use case diagram can summarize the details of your system’s users and their interactions with the system. Scenarios in which your system or application interacts with organizations, people, or external systems. Goals that your system or application helps those entities achieve
Usage Scenarios Diagnosis of Prediction of TV Show Popularity based on Sentiment Analysis:
A brief user story explaining who is using the system and what they are trying to accomplish. A Scenario is made up of a number of simple, discrete steps that are designated as being performed by either the System or a User.
ADOPTED METHODOLOGY for Prediction of TV Show Popularity based on Sentiment Analysis:
The adopted methodology for this project is vu process model. Vu process model is a combination of water-fall model and spiral model. This combination has many advantages. This model has high risk analysis so avoidance of risk would be achieved. This model is easy to understand and use. Now first we will discuss the Water-fall model.
Work Plan of Diagnosis of Prediction of TV Show Popularity based on Sentiment Analysis:
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