NLP Services for Conversational AI

NLP solutions have turned the tide in recent years and are now mainstream AI that everyone should be using. Are you?

Software Development Company California

Our Natural Language Processing (NLP) experts at Pegasus One help develop intelligent systems that take relevant actions by appropriately interpreting human behavior and language. As algorithms advance in the understanding of natural language, it is vital to capture data in a way to empower proper training through annotation. Pegasus One’s teams have experience working with structured and unstructured data in named entity recognition, sentiment analysis, text summarization, aspect mining, topic modeling, and machine translation.

Natural Language Processing enables:

Streamline processes

Monitor customer feedback on the go, free your resources from repetitive tasks, and remain on top of emerging trends.

Large-scale analysis

Process huge amounts of data in just seconds or minutes, which conventionally takes days or weeks of manual analysis.

Customer satisfaction

Automatically analyze and sort customer service tickets by topic, intent, urgency, sentiment, and route them directly to the relevant department.

Actionable insights

Ability to process unstructured text for data-driven, real-world, immediately actionable insights.

Hire NLP Engineers

Boost your company’s technical AI capabilities faster by integrating NLP for conversational AI tools. With expertise in technologies like Machine Learning, Neural Networks, Deep Learning, Computer Vision, Data Mining, Analytics, and Visualization, our AI engineers develop highly user-focused, data-driven AI solutions.

Our hand-picked NLP engineers have a track record of delivering sophisticated, user-centric products that are serving millions today. Constant upskilling and certifications ensure that they stay up to date and fit the market needs at any point in time.

NLP Services for Conversational AI

Create intelligent conversational tools

Power your enterprise apps with natural speech, understanding of language and human-like responses – accurately and in 100+ languages.

Our NLP models are ready to use and require minimal tuning.

Build custom AI chatbots

Enhance customer service and support with intelligent chatbots and virtual assistants that provide personalized, round-the-clock assistance.

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Sentiment Analysis

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Entity Extraction

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Intent Classification

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Speech Recognition

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Text Categorization

Generate value from your data, structure or unstructured, with NLP

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Text Clasification

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Text Modernization

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Optical Char. Recognition

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Named Entity Recognition

Explore more AI & ML Development Services

Explore more AI & ML Development Services

Computer Vision

Data Analysis

Ethics & Governance

Data Preparation

Generative AI

Automation

Machine Learning

NLP

Custom AI Solutions

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NLP Use Cases

Discover how AI can be applied in various industries and scenarios.

In-store bots act as shopping assistants, suggest products to customers, help customers locate the desired product, and provide information about upcoming sales or promotions.

Marketers can rely on web scraping to extract e-commerce and product data and combine it with NLP to analyze consumer sentiments, detect market trends, and optimize their strategies.

Many online retail and e-commerce websites rely on NLP-powered semantic search engines to leverage long-tail search strings (e.g. women white pants size 38) to understand shopper’s intent, and improve the visibility of numerous products.

To document clinical procedures and results, physicians dictate the processes to a voice recorder or a medical stenographer to be transcribed later to texts and input to the EMR and EHR systems. NLP can be used to analyze the voice records and convert them to text, in order to be fed to EMRs and patients’ records.
NLP can be used in combination with optical character recognition (OCR) to extract healthcare data from EHRs, physicians’ notes, or medical forms, in order to be fed to data entry software (e.g. RPA bots). This significantly reduces the time spent on data entry and increases the quality of data as no human errors occur in the process.
NLP can be used to interpret the description of clinical trials, and check unstructured doctors’ notes and pathology reports, in order to recognize individuals who would be eligible to participate in a given clinical trial. The algorithm used to develop such an NLP model would use medical records and research papers as training data in order to be able to recognize medical terminology and synonyms, interpret the general context of a trial, generate a list of criteria for trial eligibility, and evaluate participants’ applications accordingly.
Computer Assisted Coding (CAC) tools are a type of software that screens medical documentations and produces medical codes for specific phrases and terminologies within the document. NLP-based CACs screen can analyze and interpret unstructured healthcare data to extract features (e.g. medical facts) that support the codes assigned.
NLP is used to build medical models which can recognize disease criteria based on standard clinical terminology and medical word usage. NLP solutions have been used in major medical centers to analyze patients’ EHR documents and suggest treatment recommendations, and have had 90% accuracy or more.

NLP is applied in healthcare for analyzing electronic health records (EHRs). It helps extract insights from patient records, improve clinical decision support, and enable medical research.

NLP can be used to analyze social media posts, reviews, or customer feedback to determine the sentiment or emotional tone behind the text. This is valuable for understanding public opinion about products, services, or brands.

NLP powers chatbots and virtual assistants that can engage in natural language conversations with users. These AI-driven chatbots are used for customer support, answering queries, and automating routine tasks.

NLP technology is employed in language translation services, enabling the automatic translation of text or speech from one language to another.

NLP can automatically generate concise summaries of lengthy documents, articles, or news stories. This is useful for quickly extracting key information.

NLP is used in speech recognition systems to convert spoken language into text. This technology is applied in voice assistants like Siri, Alexa, and Google Assistant.

NLP algorithms can categorize text into predefined categories or topics. This is used in content recommendation, news classification, and spam email filtering.

NLP enables efficient document search and retrieval systems. It’s used in search engines like Google to understand user queries and retrieve relevant web pages.

NLP models can identify and classify named entities such as names of people, organizations, locations, and dates within text. This is valuable for information extraction and data indexing.

NLP-powered language tutoring platforms can provide personalized language learning experiences, including grammar correction and pronunciation feedback.

NLP algorithms are used to analyze user preferences and recommend content, such as movies, books, articles, and products, based on their historical interactions.

Companies use NLP to analyze market trends, consumer sentiment, and competitor strategies by extracting and summarizing relevant information from textual data sources.

NLP can tailor educational content and assessments to individual students, adapting learning materials to their strengths and weaknesses.

NLP helps in automatically detecting and filtering out inappropriate or harmful content on online platforms, such as social media, forums, and comments sections.

In the legal field, NLP can be applied to review and analyze legal documents, contracts, and case files to identify relevant information and streamline legal research.

NLP is used in combination with classification algorithms to assess real-time web-based financial news, in order to facilitate ‘news-based trading’, where analysts seek to isolate financial news that affects stock prices and market activity.
Virtual therapists (therapist chatbots) are an application of conversational AI in healthcare. NLP is used to train the algorithm on mental health diseases and evidence-based guidelines, in order to deliver cognitive behavioral therapy (CBT) for patients with depression, post-traumatic stress disorder (PTSD), and anxiety. In addition, virtual therapists can be used to converse with autistic patients to improve their social skills and job interview skills.

Not sure how AI can benefit your business?

Case Studies

Explore some of Pegasus One’s success stories where AI has transformed businesses and processes.

Universal Wellness Platform For A Range of Smart Devices

Universal Wellness Platform

Artificial Intelligence Enhanced Character and Word Recognition

Intelligent Character Recognition

Watch our webinar on how to add AI capabilities to any enterprise, fast

Join our CEO and CTO to learn how you can add AI powered tools such as language and speech recognition, speaker authentication, chat bots, and more to your existing enterprise apps and software. We talk about the services provided by Microsoft Azure (Azure Cognitive Services) that make it easier and faster to make an intelligent, self-learning and universally accessible app that enhances the overall user experience.

Quick reads

Authored articles from Pegasus One.

  • What Is Computer Vision in Artificial Intelligence?

    What Is Computer Vision in Artificial Intelligence?

  • Which API Can Be Used With TensorFlow?

    Which API Can Be Used With TensorFlow?

  • Unlocking the AI Brain: A Dive into Persona-Based Prompt Engineering

    Unlocking the AI Brain: A Dive into Persona-Based Prompt Engineering

Ready to create intelligent conversational tools?

By hiring Silicon Valley caliber engineers at a more affordable cost, you can access a wide range of skilled NLP developers specializing in creating and integrating NLP for conversational AI. With expertise in over 100 skill sets, our developers are equipped to handle a variety of A.I. projects and deliver high-quality results.

We deliver extra-ordinary outcomes
for extra-ordinary clients

Working with you was an awesome experience! Thank you for improving our site performance fifteen-fold within a few days.... Working with you was an awesome experience! Thank you for improving our site performance fifteen-fold within a few days

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Thanks to you, our company now has time to concentrate on the important things, and not worry about who will devlop and grow our product

Kathleen Webber

As a verteran of many systems-development projects, I was particularly impressed with your implementation speed, adaptability to multiple changes, timely improvement recommendations, warnings about potential problems.

Nathan Chaffey

your company has worked on a variety of complex projects for us. We return again and again because your team is very talented and dedicated to delivering high-quality work products at a very competitive price point.

Donnie McWilson
software clients pegasus one

PEGASUS ONE AT
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