Inspiration

Every company has varied products and services and their sentiment cannot be accurately predicted based on a generalized model. Therefore we create one to exactly fit their needs

What it does

It trains an AI model based on a predefined database to predict sentiment of inputs.

How I built it

It was built on google colab using nltk, sklearn and pandas library

Challenges I ran into

Optimizing the code for highest accuracy and lowest run time possible

Accomplishments that I'm proud of

I am proud of creating a project that has potential of development for a real world application

What I learned

I learned data cleaning and basic AI model development

What's next for Sentiment Analyzer

It can be made better by effective data cleaning and removal of ineffective stop words

sidenote

The files were sent over via mail and uploaded to github as well.

Built With

• google-colab
• nltk
• pandas
• python
• sklearn