What is Sentiment Analysis?
Sentiment Analysis is the mining of text which identifies and extracts subjective information in the source material and helps a brand to understand the social sentiment, product, or service while monitoring online conversations.
Sentiment analysis (or opinion mining) is often regarded as a natural language processing (NLP) technique used to determine whether data is positive, negative, or neutral.
We believe it is important to classify incoming audience thoughts about a brand based on the following lines:
Key aspects of a brand and its service that the audience cares about.
Users’ underlying intentions and reactions concerning those aspects.
NLTK – Sentiment Analysis
Natural Language Toolkit (NLTK) is an open source option, leaving you with plenty of documentation across a variety of programs. It is the go-to API for NLP (Natural Language Processing) with Python.
With the help of NLTK we can easily predict whether a sentence or a review is positive, negative or neutral.
How is Sentiment Analysis done?
We work upon the sentiments using a state-of-the-art deep learning approach. Our AI-powered tool helps you understand how consumers perceive your brand in three categories :
The above categorization can be used to improve product development, detect crises, protect your reputation and more.
Why do we need Sentiment Analysis?
Sentiment analysis helps in generating insights into how brands can enhance the user's experience and improve their services.
It can improve customer loyalty and retention through better service outcomes and audience experience.
It gives an organization much-needed insights into its target users. Organisations can now adjust their marketing strategies depending on how the users are responding to them. Since sentiment analysis gives the brands a sneak peek into their customer’s emotions, they can be aware of any crisis that’s to come well in time – and manage it accordingly.
What to Use Sentiment Analysis For
Social Media Monitoring
In the modern age where more and more social media content is being produced, social media monitoring is the most commonly used method by companies. Our advanced sentiment analysis tool will save lives here, effectively and efficiently help content creators in social media monitoring.
Customer Support & Feedback
Improving customer service operations is essential because it provides a good customer experience, while customer feedback is important in determining brand health and how people feel about the brand.
Sentiment analysis is traditionally essential for conducting market research. Sentiment analysis performed by classifying customer responses enables organizations to understand their thoughts or feelings towards a brand.
Intent analysis means understanding the action that underlies reviews or opinions provided by customers. This type of sentiment analysis provides opportunities to address customer complaints or issues related to a product or service.
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