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   Building better products backed by customer feedback
• Gathering competitive intelligence
• Understanding customers’ perceptions
• Sentiment Analysis for your employees and brands
• Optimizing business operations

Our expert NLP developers have extensive experience in developing smart, scalable and adaptive solutions for our clients and give them the best competitive edge.

Our customized solutions will extract information from various sources like emails, social media, product feedback forms, etc and structure it with related data, analyze it, and provide the client with the right insights.

Our sentiment analysis models extract information and help in understanding the true sentiment of the customers. Our models identify and extract the positive and negative sentiments from various sources by leveraging NLP.

Our highly professional team will perform periodical reviews and refine the models that provide valuable insights and productive business strategies.

We help build custom AI and NLP driven Speech Recognition software and facilitate speech to text solutions. Our specialized solutions will optimize business operations, drive sales, and increase the returns of our clients.

Our deep expertise in developing speech recognition solutions will eliminate tedious tasks and create more efficient workflows.

We provide Optical Character Recognition solutions that allow converting static documents into a format that is searchable and editable. Our AI-driven OCR tools capture the information and comprehend the content.

We ensure that by leveraging our solutions your administrative processes will be reduced leading you towards increased productivity.

We built an NLP engine that scrapes employee conversations and feedback at portals like Glassdoor, Indeed, Twitter, and Facebook, etc., and then does binary (positive/negative) and multiple sentiment analysis on various emotions like Fear, Joy, Sadness, and Trust, etc. The analysis can be viewed on a visualization dashboard and reports can be generated.

We did sentiment analysis of Headlines of Times of India and plotted monthly and weekly trend for the sentiments. We also plotted the most frequent words occurring on headlines of Times of India 2019 on both the sentiments. We were also able to identify the time of the month and week, the positive and negative sentiments expressed on headlines were high.