Text Analytics solutions provide a comprehensive understanding of customer feedback, social media sentiment, and market trends, allowing businesses to optimize their products, services, and customer experiences. By analysing customer reviews, comments, and social media conversations, organizations can identify areas for improvement, enhance customer satisfaction, and drive brand loyalty.
In industries such as healthcare, text analytics can aid in patient sentiment analysis, enabling healthcare providers to identify areas of improvement in care delivery, enhance patient experience, and address potential issues proactively. In financial services, text analytics can be utilized to analyze news articles, market reports, and social media discussions to gain insights into market trends, sentiment, and investor behavior, facilitating informed investment decisions.
Text Analytics Services also have applications in legal and compliance domains. By analysing legal documents, contracts, and regulatory texts, organizations can streamline due diligence processes, identify risks, and ensure compliance with legal requirements. In addition, text analytics can be used in content analysis for media and publishing companies, enabling them to categorize and tag content, automate content recommendation systems, and improve content relevance and engagement.
Structured Data
Data that is easily searchable by basic algorithms is structured data. Spreadsheets and data from machine sensors are examples of structured data.
Unstructured Data
Unstructured data on the other hand is more like the human language. It does not settle nicely with relational databases and using old algorithms to search is extremely difficult if not impossible.
Our NLP solutions cut across all industries that have extensive data usage.
Want help to extract valuable insights from unstructured textual data, and enable them to make informed decisions and gain a competitive edge? What are you waiting for get in touch today
Contact us nowText Analytics Services enable organizations to extract valuable insights from unstructured text data, such as customer feedback, social media posts, emails, and documents. By leveraging natural language processing and machine learning techniques, businesses can unlock the following benefits:
Understand customer sentiment and sentiment trends to enhance customer satisfaction, resulting in a 15% increase in customer loyalty.
Uncover hidden patterns, sentiments, and trends within large volumes of text data, by utilizing advanced natural language processing techniques, sentiment analysis, and topic modeling.
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