Natural Language Processing
Take Advantage of Natural Language Processing in your Business
38Years’ Experience in IT
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What is Natural Language Processing?
Natural Language Processing is derived from Artificial Intelligence. This technology allows computers to understand, interpret, detect, and analyze human language. This technology analyzes various factors of human language, like semantics, syntax, morphology, and pragmatics. Some popular NPL tools include sentiment analysis, text mining, machine translation, and more.
INCITERZ aims to assist businesses by providing NLP services that break down human language, making it easier for computers to analyze automatically. With our NPL service, you can improve customer satisfaction by allowing your system to automatically analyze and differentiate customer service tickets by urgency, topic, sentiment, intent, etc.
Importance of Natural Language Processing
Natural Language Processing brings various advantages to a business. It can perform large-scale analysis of documents, emails, internal systems, online reviews, social media data, and more. With NPL, you can save a lot of time that manual analysis would take. Aside from analyzing at a large scale, it offers more objective and accurate insight. We can help you develop NLP-powered tools that understand the language and criteria of your business. With our NLP tools, you can train it as your business evolves.
NLP greatly impacts marketing as it better understands the customer’s needs and demands. Our NLP services work to understand the language of the customer base. You can use our NLP tools to better understand the market segment and target potential customers directly. NLP can also automate the process and save your employees from doing tedious, repetitive tasks. Your employee can focus on more important things and improve overall productivity.
At INCITERZ, our developers are experts in developing software using the latest technology, like artificial intelligence, machine learning, and computational linguistics. Our NLP software can summarize length blocks of narrative text like academic journal articles or clinical notes by identifying the main phases present in the material. We can also help you develop NLP software combined with optical character recognition that turns image files into text files. Our Natural Language Processing software can do more tasks, including speech-to-text conversion, contextual extraction, topic discovery & modeling, sentiment analysis, and more.
Our Natural Language Processing Development Process
We start our project of developing an NLP tool for our client by collecting data from various sources. Our developers also build a raw text corpus. Our developers also eliminate irrelevant or incomplete data and prepare useful text for further analysis.Read More
Exploratory data analysis
At this stage, our developers sift raw data and organize it to do a more focused analysis with a smaller dataset. We perform a deep exploratory analysis that allows us to build a format for representations. Read More
In the final stage, we deploy the successful model of the NLP tool in the execution environment. We also fix deployment issues with our client’s Natural Language Processing tool. Read More
Our designers use various visualization techniques to display the data in a useful format. We perform these techniques, including syntactic, semantic, and pragmatic analysis of the text. Read More
After completely modeling the program for our client’s business, we perform various tests to check its performance against several parameters. We fixed issues with the raw model and developed a successful one. Read More
Once we find all the relevant data and the aim of the NLP tool, we start modeling artificial intelligence and train it to automate the learning of complex behavioral and linguistic models. We use all the gathered text at this stand to train the program. Read More