Sentiment Analysis and Text Mining System for Textual Data

When dealing with textual data, finding the meaningful patterns is a task related to deep learning and Intelligent patter recognition. Tasks like evaluation of general contexed random textual data is the core of Natural Language Processing (NLP). By applying the approach of textual analytical method

Project Title

Sentiment Analysis and Text Mining System for Textual Data

Project Area of Specialization

Artificial Intelligence

Project Summary

When dealing with textual data, finding the meaningful patterns is a task related to deep learning and Intelligent patter recognition. Tasks like evaluation of general contexed random textual data is the core of Natural Language Processing (NLP). By applying the approach of textual analytical methods using tokenization and different N-Grams logics embedded on user response in order to make Smart Evaluation System for sentiment and context analysis of textual data. The system is based on opinion mining and sentiment analysis, this will also deliver a new vision into entity’s performance with the help of sentiment score, and other frequency-based filters.

Project Objectives

The main aim of this project is to develop a system which can perform evaluation based on Natural Language Processing and text analytics methods and algorithms to give unbiased results of entity’s Performance and other stats based on user’s survey taken on medium, we will achieve our objectives by analyzing the given response from the user and it would be analyzed through NLP algorithms which were discussed above and then the processed information would be shown to the user.

Project Implementation Method

The implementation defined for proposed approach is that developmental steps of system include layout and design that would be carried out through REACT (a front-end development technology for developing interfaces). The backend would be covered through PYTHON 3.5. Agile Methodology will be used.

Benefits of the Project

The focus of proposed system is to accurately train the system through NLP algorithms and to analyze user’s sentiments of entity’s performance and services. Consequently the system should be able to generate an alert in advacne and remedial action could be taken.

The main issue is to overcome the problem of unbiased and fake reviews and to make the system A.I intelligent which in return could analyze the user’s text and provide facts, figures and results of resource’s performance.

Technical Details of Final Deliverable

This web application is A.I based Evaluation which will be intelligent enough to recognize user’s sentiments on given text input and will show the calculated result and other stats. The   purpose of this system is to achieve the goal of getting unbiased reviews and information and to help out the user to make smart decisions on the basis of available resources.

System will analyze user’s opinions through text and sentimental analysis and data mining algorithms to categories and filter the mass information regarding the source entity to show the overall results and statistics.

Final Deliverable of the Project

Software System

Core Industry

Security

Other Industries

Education

Core Technology

Artificial Intelligence(AI)

Other Technologies

Big Data

Sustainable Development Goals

Good Health and Well-Being for People, Sustainable Cities and Communities, Peace and Justice Strong Institutions

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com