Minor Project Details.txt

Minor Project

Goals
Regardless of the name, the goal of sentiment analysis is the same: to know a user or audience opinion on a target object by analyzing a vast amount of text from various sources. You can analyze text on different levels of detail, and the detail level depends on your goals.

Objective
 The project mainly deals analysis of product reviews from various 
ecommerce websites.
 Our Main objective is to get the overall polarity of reviews for a 
particular product

The whole project is available in my github repository which are basically all the model files presentation, model, report Kaggle and Custom Datasets.
GitHub URL-
https://github.com/Prophet1999/prophet1999

 Identify the orientation of opinion in a piece of text
 Can be generalized to a wider set of emotions
The movie 
was fabulous!
The movie 
stars Mr. X
The movie 
was horrible!
[ Sentimental ] [ Factual ] [ Sentimental ]

Stakeholders and their names
Akarsh Mathur- Backend development.
Himanshu Patel- Data Collection, version control and Frontend development
Harshit Jain- Data Integration and frontend design
Kunal Sahu- Documentation testing and reporting

Metrics for measuring Success
As a classification problem, Sentiment Analysis uses the evaluation metrics of Precision, Recall, F-score, and Accuracy. Also, average measures like macro, micro, and weighted F1-scores are useful for multi-class problems. Depending on the balance of classes of the dataset the most appropriate metric should be used

Sentiment Analysis
 Movie: is this review positive or negative?
 Products: what do people think about the new iPhone?
 Public sentiment: how is consumer confidence?
Is despair increasing?
 Politics: what do people think about this candidate or issue?
 Prediction: predict election outcomes or market trends
from sentiment

Sentiment analysis has many 
other names
Opinion extraction
Opinion mining
Sentiment mining
Subjectivity analysis

Case Diagram
Texts
Sentences
Noun
Adjective
Positive Neutral Negative Polarity

Areas To Be covered for 
Sentiment Analysis
 Long Short-Term Memory (LSTM)
 Recurrent Neural Networks
 Word Embeddings
 Convolutional Neural Networks
 DropOut
 Padding
 TensorFlow.Keras
 Average Pooling and Pooling Layers
 Adam Optimizer

Software Specification
 FRONT END : Tkinter by Python
 BACK END : Python
 PLATFORM : Windows

CONCLUSION AND FUTURE WORKS
 Sentiment analysis or opinion mining is a field of study that 
analyzes people’s sentiments, attitudes, or emotions towards 
certain entities. This project deal with a fundamental problem of 
sentiment analysis, sentiment polarity categorization. Online 
product reviews from Amazon.com are selected as data used for 
this project. 
 We plan to use more exhaustive techniques in future to build a 
full-fledged model that is able to analyse a large set of data in a 
little time and with good accuracy.

References
 https://www.GeeksforGeeks.org/
 https://www.python.org/
 https://www.coursera.org/
 https://docs.python.org/3/tutorial/
 https://www.Medium.com/
 https://www.google.com/
 https://www.Medium.com/
 https://www.Wikipedia.org/