Textual Analytics Solution

What is textual analytics?

Text analytics combines a set of machine learning, statistical and linguistic techniques to process large volumes of unstructured text or text that does not have a predefined format, to derive insights and patterns. It enables businesses, governments, researchers, and media to exploit the enormous content at their disposal for making crucial decisions. Text analytics uses a variety of techniques – sentiment analysis, topic modelling, named entity recognition, term frequency, and event extraction.

Relevance of text analytics

As of 2020, around 4.57 billion people have access to the internet. That’s roughly 59% of the world’s population. Out of which, about 49 percent of people are active on social media. An enormous amount of text data is generated every day in the form of blogs, tweets, reviews, forum discussions, and surveys. Besides, most customer interactions are now digital, which creates another huge text database.

Most of the text data is unstructured and scattered around the web. If this text data is gathered, collated, structured, and analyzed correctly, valuable knowledge can be derived from it. Organizations can use these insights to take actions that enhance profitability, customer satisfaction, research, and even national security.

Benefits of Text Analytics

There is a range of ways that text analytics can help businesses, organizations, and event social movements:

• Help businesses to understand customer trends, product performance, and service quality. This results in quick decision making, enhancing business intelligence, increased productivity, and cost savings.
• Helps researchers to explore a great deal of pre-existing literature in a short time, extracting what is relevant to their study. This helps in quicker scientific breakthroughs.
• Assists in understanding general trends and opinions in the society, that enable governments and political bodies in decision making.
• Text analytic techniques help search engines and information retrieval systems to improve their performance, thereby providing fast user experiences.
• Refine user content recommendation systems by categorizing related content.

IT solutions in Malaysia

VGR IT Solution is a leading website and programming organization that aims to provide the best services to its customers and become the most trusted IT solutions organization. Working on this Aim we created various IT services as per the needs of the customer and designed them to achieve the highest customer satisfaction. We offer services including IT solutions, Web Development, database services and much more.

Our IT solutions have always delivered the best services and continue to grow and learn to provide still better and advanced services. At VGR we believe that experience is the key to success, this is why we have the most experienced teams for various services, all ready to give you the best experience of IT services.

As the technologies grow, so does the risk of losing data privacy and protection, that is why our IT solutions provide the best cyber security services. We ensure that you use the technology and not the other way around. With our experienced team working for you, you can relax and focus on growing your business.

VGR has created a range of IT services that provide the customers with the best IT solutions, these services include, database management, network security, cloud computing and much more. We have the most experienced experts who provide you with the correct solutions for your IT needs. For years we have been delivering services and adding satisfied customers to its wings. We aim to become the most trust able IT services provider and continue to work to achieve it.

We offer solutions for:

• Web
• Android
• Ios
• Iot
• Wearables
• Tv

Features of our text analytics solution

We provide AI service for performing sophisticated text analysis at scale. Our solution is best because:

• Quickly and tirelessly sift through growing volumes of text data to identify main ideas or topics, extract key terms, analyze sentiment, and identify correlations between words with the right combination of natural language processing, machine learning and deep learning methods, and linguistic rules. This helps get the right information to people when they need it.
• Empower decision making at the source of the data and reduce the gap between when information is received and when it is acted on. If someone leaves a comment or clicks through an app on a mobile device, SAS Visual Text Analytics analyzes the data immediately using in-memory, in-database and in-stream technologies. Embedded visualization capabilities allow for visual exploration of both data and analytics while also providing intuitive dashboards that easily communicate results to a variety of stakeholders.
• Our Text Analytics provides a flexible environment that supports the entire analytics life cycle – from data preparation to discovering analytic insights, to putting models into production to realize value. Create, manage and share content, including best practice pipelines, in a highly collaborative workspace that easily integrates with existing systems and open source technology.
• Intelligent algorithms and NLP techniques automatically detect relationships and sentiment in text data, eliminating time-consuming manual analysis. The use of human subject matter expertise to refine results is augmented with automatic rule generation and an interactive sandbox that allows you to evaluate subsets of rules to determine which ones are better performing. Drag-and-drop functionality, best-practice templates, simple merge and split features, effortless topic promotion, automatic rule generation and one-click model deployment collectively reduce the human model building effort required, creating more time to focus on finding the information that matters.

Why us

• Access, profile, cleanse and transform data using an intuitive interface that provides self-service data preparation capabilities with embedded AI.
• Create and deploy custom, natural language chatbots via an intuitive, low-code visual interface for chatbot-enabled insights and conversational user experiences​.
• Visually explore data and create and share smart visualizations and interactive reports through a single, self-service interface. Augmented analytics and advanced capabilities accelerate insights and help you uncover stories hidden in your data​.
• Text is separated into words, phrases, punctuation marks and other elements of meaning to provide the human framework a machine needs to analyze text at scale.
• Unsupervised machine learning groups documents based on common themes. Relevance scores calculate how well each document belongs to each topic, and a binary flag shows topic membership above a given threshold.
• Pull out specific pieces of information or relationships between information from text using a powerful, flexible and scalable SAS proprietary programming language called language interpretation for textual information (LITI).
• Build effective text models using a variety of combined capabilities, including a rich mix of linguistic rules, natural language processing, machine learning and deep learning.
• Subjective information is identified in the text and labelled as positive, negative or neutral. That information is associated with an entity, and a visual depiction is provided through a sentiment indicator display.
• Deploy models in batch, Hadoop, in-stream and via APIs. Score code is natively threaded for distributed processing, taking maximum advantage of computing resources to reduce latency to results.