TextData Sentiment Analysis System using Python NLTK | NLP Project смотреть онлайн

This is a TextData Sentiment Analysis System - It reads text data from a CSV file & classifies the text into Negative, Neutral, and Positive Sentiments. And also Illustrate the frequency distribution of the dataset through data visualization. This system was built in Python using the Natural Language Processing toolkit library NLTK. It calculates and analysis sentiments on live data; doesn't require any model to Train and Test data.


I created this system, especially for my users who want to perform sentiment analysis instantly on data; This system explores the actual information about the dataset. The results are about 75% correct because it doesn't operate through neural networks Insha-Allah in the future I will train the BERT model for sentiment analysis; through that approach, we will able to get 90% correct analysis of text data.


This web application was developed in Flask framework, it was easy to learn and used to develop quality web application in Python.


PROS
- Easy to Handle
- 75% of results are correct
- Perform Data Visualization through graphs and tables


CONS
- Create inappropriate results when data was complicated and fuzzy
- Failed to detect emojis in text


If you are looking forward to this type of application then you should contact me. Very soon Insha-Allah I will upload this project onto my GitHub repo


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CONTACT ME:-
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