Analyzing Twitter Sentiment with Python
Sentiment Analysis is the process of determining whether a piece of word or sentense is negative, positive or neutral. The Twitter sentiment analysis model developed using python programming language and tkinter is used to create graphical user interface. Twitter Sentiment Analysis is performed to verify the sentiment towards various topic. For this project user can analyze the sentiments of people towards covid vaccine. Machine Leraning model is trained on large dataset that will be downloaded from Kaggle. Collected tweets from twitter will analyzed and identify the different sentiment present in tweets using machine learning model. Different Types of sentiment identified in this model it includes negative sentiment, positive sentiment and neutral sentiment present in tweets. We will using various classifiers to check whether which classifier gave the best model accuracy.
Analysis of Twitter Sentiments using Machine Learning Algorithm
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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