What is Sentiment Analysis?
Sentiment analysis (or opinion mining) is a natural language processing technique used to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual data to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs. Some of its applications are:
Sentiment analysis models focus on polarity but also on feelings and emotions, urgency and even intentions.
How it's works
Train, test and validation datasets are obtained for model development.
A Machine Learning Algorithm (technique) is selected for the implementation.
Using the dataset and algorithm a model is developed and fine-tuned.
Predictions are made using the model. Deployment and adjustments are made.
Benefits With Us
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How is this useful for me or my company?
If you have clients, knowing how they feel about your brand or products is extremely useful. For specific use cases by industry, make sure to reach out via our contact page.
Do we have to provide all data for development?
Base models can be developed using public data. If you have concerns regarding how we use your data, please let us know.
How does the end product look like?
You decide. We can focus on only developing the model or, if you need, we can deploy a full-fledged cloud service for Sentiment Analysis.