Interactions between brands and audiences have increased immensely on varied social networks. How should companies listen, analyze, and engage with customers to know what exactly their emotional footprint is?
We, at Hitech BPO, combine natural language processing (NLP) and machine learning algorithms to perform sentiment analysis and extract meaning from product and service review in form of text, speech, emoji, images, visuals etc. Our analysts dive into opinions across customer’s journey to glean insights from feedback expressed as tweets, Facebook posts, comments in blogs or forums, and emails around brands, markets, employers many more.
Our sentiment analysis solutions tell you what customers say about your company, products and services; right from flame detection (bad rant) to new product or brand perception, and your brand image. Our solutions empower companies and enterprises to better understand customers and deliver products and services that best fit their needs.
Let’s tell you about your social footprint »
Assess the opinion of a writer in a piece of text and its polarity; whether it’s positive, negative or neutral.
Understand the riches buried in the myriad of text and documents to make better business decisions.
Better understand common conversations & the most representative topics associated with your brand.
Track, analyze, and respond to consumer conversations about your brand, product and services.
Extract, identify and characterize sentiments to set customer’s mood right, and enhance your brand value.
Classify polarity of a given text at the document, sentence, or feature/aspect level to analyze sentiments.
Experience of working with global leaders gives us the expertise to identify information relevant to your company.
Algorithm-based sentiment analysis handles huge volumes of customer feedback consistently and accurately.
