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Sentiment Analysis Predictor for Twitter

Sentiment Analysis Predictor for Twitter

“Opinions are sentiments that always differ!”

The mixed opinions and thoughts never get to any conclusion. It's always difficult to obtain a final outcome on any topic, or on anyone; especially at times when people post their opinions on social media platforms like Facebook, Instagram, and Twitter.

But, what if we understand the natural disposition that people possess towards a specific topic on social media?

ML/DL Software Model

In Our ML/DL Software Model,

We tried finding out a collective opinion of Twitter users on Elon Musk, CEO of Tesla & SpaceX. For this, we did tweet mining, scrapped tweets using a Python library, ‘tweepy’ to form a dataset of all tweets related to Elon Musk.

Using Data Science frameworks, Machine Learning & Deep Learning algorithms, and Python language, we were able to understand the mindset of Twitter on Musk from their tweets.

We systematically modeled the language of texts in their tweets using NLP (Natural Language Processing), analyzed the Twittersphere, obtained NLP data by scraping tweets only to classify the opinions of the masses.

ML/DL Software Model - Sentiment Analysis for Twitter

Predicts

90%

Tweets were POSITIVE in favor of Elon Musk

10%

Tweets were NEGATIVE against Elon Musk

Do You Want A Business Sentiment Analysis Predictor

Do You Want A Business Sentiment Analysis Predictor?

Finally, after determining the polarity of masses collectively, one can conclude that the so-called Alien on earth, Elon Musk is one of the most loved, respected, acknowledged, well-treated, inspirational personalities in the world, everywhere you go.

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Is Sentiment Analysis Predictor Helpful to Your Business?

Yes, it is!

Like tweet mining, you can use all the above-mentioned sciences, technologies, and programming languages in mining NLP data on Facebook, Flipkart, Amazon, etc.

Such software models can help you out in knowing reviews about your freshly launched online product/services. By understanding consumers’, customers’, clients’, and viewers’ opinions, a company can improve its business presence on the internet in a short time.

“Know Opinions About Your Business Product/Services!”

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