Text analytics can be helpful beyond filtering and modeling your data if you have the right technical support and experience. SoulPage is expertise-driven. With years of experience working on every kind of data that is available with distinct businesses from various industries make sure you have the right expertise, support, and reliability to deploy the futuristic sophisticated solutions for solving your business problems associated with
Robot Risk Analysis
Accurate Customer Perceptions
Empower Brand Awareness
Tailored Social Listening
We, at SoulPage, help businesses like yours in adopting breakthroughs in innovations that power text analytics in solving complex data challenges to study invisible insights. With SoulPage, our clients enjoy benefits like data normalization, harnessing nuanced or unstructured data, recommending suitable analysis for structured data, suggesting and implementing the right set of machine learning algorithms, AI assistance, and more. We ensure to benefit your business in the following ways
NLP helps you to scale your text and audio annotations by understanding complex and nuanced language in data. Our skilled team decodes the keynote by making the data machine-readable.
Detect positive and negative sentiments in social media, customer responses, and other resources to analyze your customers on a scale-specific attribute to build a customer-centric business.
Deploy anywhere, from the cloud. The speech recognition API helps in optimizing your customers’ analyzing capabilities by determining key variants and dialects in a speech in a wide range of languages.
Conversational AI is a new-age application that acts beyond chatbots to map your customer interests and provide a personalized customer service experience. The AI bots can cut down costs and time in real-time.
We streamline the data collected from various sources like cloud servers, apps, streaming applications, sensors, etc, to understand how, where, and what can be displayed, analyzed, and stored in data lakes.
During data preparation and transformation we preserve, curate, clean, and transform the data form if required to discover the hidden insights and for analytical querying.
We engineer the entire data pipeline with data modeling and analysis processes to identify trends and patterns that help you better understand a problem or deliver a solution.
Gain 360-degree transparency with your data to create interactive reports and intuitive dashboards that help in understanding analytics and are manageable for everyone at every level of your organization.
Complete Suite of Services
From strategy consulting to
development, our wide range of services
we will help you expand your data
We understand text analytics technologies
and we know how to creatively leverage
them to build customized and innovative
products & solutions.
Complete Regulatory Compliance
We ensure proper and complete
compliance with the country, state, and
Text analytics combines a set of machine learning, natural language processes, and statistical techniques to process huge volumes of unstructured or semi-structured data (the data which doesn’t have a predefined format) to extract insights and recognize data relationships for further application
Analyzing raw data or unstructured data from different sources like emails, text messages, customer reviews, feedback forums, etc., can empower business capabilities to understand customer likes and preferences, competitor analysis, market trends, product growth and optimization, and more.
The process starts with data collection from various sources, followed by data curation, data processing, and data analysis. One can process every type of data available ( structured, unstructured, and semi-structured data)
Text analytics is the process of analyzing unstructured text in a data source to extract relevant information and transform these insights into useful business intelligence. Unlike text analytics, sentiment analysis is a process that determines if the context of the text is positive, negative, or neutral, and to what degree.
AI and Machine Learning can operationalize the insights delivered through text analytics to analyze relationships among the datasets and recognize knowledge using NLP can potentially automate and accelerate data processing to improve the accuracy of the models deployed.