Best Natural Language Processing Software in Africa

Insurance is driven by the need to obtain the best rate and manage risk. To be competitive in this industry, it is important to reduce manual intervention. It takes large staffs to search, organize, analyze, and distribute information for support and underwriting purposes. Many of the data is text-centric, unstructured and require manual review. Scaling can be described as hiring more people or outsourcing. All complaints must be filtered and recorded according to their severity and topic. These complaints can be collected by automotive companies in many ways, including email, comments, forms, and other methods. Lymba's Underwriting and Support NLP Solution reduces text-centric bottlenecks by turning the data into actionable information. This saves time and money by populating an initial review.

Document processing can be complicated but it doesn't need to be. Intelligent document processing platform that can understand what you are trying to find, extract and categorize. Infinia ML uses machine-learning to quickly understand context and the relationships between words and charts. We can help you achieve your goals with our machine learning capabilities. Machine learning can help you make better business decisions. We tailor your code to your business problem, uncovering hidden insights and making accurate predictions to help your zero in on success. Our intelligent document processing solutions don't work by magic. They are based on decades of experience and advanced technology.

SentioAI uses machine learning, natural language processing and predictive analytics to identify the most important documents from a given document population with unprecedented speed and accuracy. SentioAI solves Big Data's classification problem in a unique, proprietary way. The technology is able to work when other technologies fail and delivers faster results and costs less than other technologies. SentioAI provides a ranked list of documents, ranging from the most likely to be relevant to the most likely to be. The software allows users to review and tag a portion of the data set. This data is used to train SentioAI prediction engine so documents are ordered according to their relevancy. The system gets more accurate with each new document. SentioAI determines when a predictive engine has been trained and then runs the models on the complete data set to generate the results.

Rinalogy Classification API can integrate with your application and run in a customized environment. Rinalogy Classification API is a cloud-based machine learning API that runs in an environment you cannot control and requires you to transfer all your data. Instead, Rinalogy Classification API can easily be deployed in your IT infrastructure and close to your data. Rinalogy Classification API performs Exhaustive Sequential Classification, applying models to all documents in a collection. The models can be saved and improved with additional training data, or used to predict new documents later. You can adjust the number workers according to your workload with its scalable cluster deployment. The Rinalogy API allows you to add text classification, search, recommendation capabilities to client applications.

Amazon Comprehend is a HIPAA-eligible, natural language processing (NLP), service that uses machine-learning to extract health data form medical text. No machine learning experience is necessary. Today, a lot of health data is found in free-form medical texts like doctor's notes, clinical trials reports, and patient records. Manually extracting data can be time-consuming and automated rule-based attempts at extracting data won't capture the whole story because they don't take context into consideration. The data is not usable for large-scale analytics that will help improve the healthcare and life sciences industry, patient outcomes, and increase efficiencies.

According to industry analysts, unstructured customer data is the largest source of unprocessed or underutilized customer data. This is growing rapidly in today’s customer-centric world. It is crucial to harness this data in the age of Big Data, where corporate data doubles every three month. EpiAnalytics Artificial Intelligence solutions (AI) support your business so you can get more value from your existing data, wherever it is. Our solutions can increase sales, improve data quality and compliance, as well as increase operational efficiencies. To create a next-generation VIN decoder, our legacy VINoptions product has been combined with its AI and VIN engineering capabilities. ChromeData VIN Descriptions is the industry standard for accurately identifying and describing a vehicle based upon its VIN.

Our comparative text analysis platform, which is based on a background in online child protection, extracts business value out of your text data. Relative Insight's technology allows brand specialists and marketing professionals to extract more value from the text data they already have. Our platform allows you to quickly and efficiently generate rich audience insights by using a comparative approach. This adds science and sophistication to your qualitative analysis. Brands can use unique marketing insights to develop better communications, better brand positioning, or more engaging campaigns. Our platform will allow you to decipher and embrace unstructured data, and reduce the time it takes for analysis. You can also use the same approach to analyze primary research transcripts, such as interviews and focus groups. Relative Insight allows you to compare your brand messaging with other competitors.

You can use the platform to collect feedback and a variety of tools to enhance that feedback and deliver better customer experiences. A suite of tools can be used to help you improve your brand reputation and listen to and communicate with customers on all the major social media platforms. Automation and sophisticated integrations make it easier to contact your customers. Customer loyalty and retention are key factors in determining ROI. Greater understanding of feedback leads to improved operational efficiency and better CX delivery. You can capture and analyze customer feedback from any channel at any moment. Use your feedback to gain actionable insights that will help you improve your bottom line. Your teams can turn unhappy customers into your greatest fans by giving them the power to empower them. With robust analysis and the use of all customer feedback and sentiment, you can find out what your customers think about your brand.

Create a natural language interface to your data. NLP is the heart of modern enterprise data processing. We provide developers the tools they need to quickly and efficiently build NLP systems that are ready for production. Our open-source framework allows for API-driven, scalable NLP application architectures. We believe in sharing. Our software is open-source. We value our community and make modern NLP accessible, practical, scalable, and easy to use. Natural language processing (NLP), a branch in AI, allows machines to interpret and process human language. Companies can use human language to interact and communicate with data and computers by implementing NLP. NLP is used in areas such as semantic search, question answering (QA), conversational A (chatbots), text summarization and question generation. It also includes text mining, machine translation, speech recognition, and text mining.

Abacus.AI is the first global end-to-end autonomous AI platform. It enables real-time deep-learning at scale for common enterprise use cases. Our innovative neural architecture search methods allow you to create custom deep learning models and then deploy them on our end-to-end DLOps platform. Our AI engine will increase user engagement by at least 30% through personalized recommendations. Our recommendations are tailored to each user's preferences, which leads to more interaction and conversions. Don't waste your time dealing with data issues. We will automatically set up your data pipelines and retrain the models. To generate recommendations, we use generative modeling. This means that even if you have very little information about a user/item, you won't have a cold start.

Despite the availability and advancements in technology, most data of healthcare organizations is still stored in unstructured documents such as paper faxes or PDFs. All healthcare systems face interoperability challenges. Consensus Clarity's natural-language processing (NLP), and artificial intelligence (AI), technology help to solve this problem. This allows for better data sharing, information visibility and workflow optimization for all stakeholders. Consensus clarity transforms digital documents that are not structured into actionable and useful data, improving and speeding up communications. Clarity's NLP/AI technology makes it possible for healthcare interoperability to be solved. Clarity eliminates roadblocks and optimizes resource use across the continuum. Clarity can transform unstructured data from hard-to-read documents into structured JSON formats that can be used in another system.

Machine learning powers the comprehensive data discovery, analysis, and automation platform. Cinchapi can understand all types of natural language, down to company-specific terminology. To dig deeper, ask follow-up questions. Cinchapi continually learns from user feedback. Cinchapi learns from your user feedback and anticipates your data needs. Cinchapi does all of the math and highlights the most important insights. This allows you to focus on the signal rather than being distracted by the noise. Cinchapi uses machine learning and advanced algorithms to enrich your data with context. Cinchapi's version control database allows you to pause and rewind real time data and explore every dimension in depth.

You can query, explore, and easily share data. Askdata is the first platform to make data interaction effortless. Click the "+" icon at the top right to connect all your data. Easy-to-use data cards allow you to collect the results of your analysis and research. You can refine your data cards with images, charts, and personal content, and share them via the web, chat, and apps. We use all your data and analytics platforms to create a personal data experience. With a simple search, users can answer any data-related question. Askdata's natural-language querying technology allows users to instantly ask questions about connected data. No training is required. Every single search results in an improvement of our proprietary Human2SQL algorithm. Askdata employs cutting-edge AI and knowledge graph technologies to help users find relevant content organized in data cards.

Natural Language Processing is Artificial Intelligence. It allows computers to understand and analyze human language. Pryon's AI can read, organize, and search in ways that were previously impossible for humans. This powerful ability is used in every interaction to both understand a request as well as to retrieve the correct response. The sophistication of the underlying natural languages technologies is directly related to the success of any NLP project. Your content can be used in chatbots, search engines, automations, and other ways. It must be broken down into pieces so that a user can find the exact answer, result, or snippet they are looking for. This can be done manually or by a specialist who breaks down information into intents or entities. Pryon automatically creates a dynamic model from your content to attach rich metadata to each piece. This model can be regenerated in a click when you add, modify or remove content.

Doctors spend two-thirds of their time documenting a patient's treatment. They spend far less time with patients or conducting interviews. Averbis is developing Speech2Structure, a software solution that allows doctors to spend more time with patients. The software allows for the recording of patient documentation live by voice and then structured on-the fly. Speech2Structure is able to recognize and correct many linguistic variations, including negations, suspected diagnoses, past diagnoses, and others. When recognizing diagnoses. Also, the corresponding diagnoses are made from microbiology or pathological laboratory results. Recorded medications can also be used to help diagnose.

Our platform is regulatory compliant and allows clinical research to be done by analyzing unstructured EMR data in order to identify life-threatening conditions. We develop technologies that increase access to the most innovative healthcare through clinical trials. Our team is focused on saving lives and providing access to new healthcare therapeutic innovations that are still being investigated. We believe every patient should be informed about their options to participate in clinical trials that could offer therapies that significantly save or improve their lives. We are an AI-based healthcare research company that has developed a platform that uses computational technology to identify patients who meet a complex set criteria and allows them to participate in clinical trials.

Sparrow is a research model that serves as a proof of concept. It was created with the goal to train dialogue agents to be more helpful and correct. Sparrow helps us understand how to train agents to be more helpful and safer, and ultimately to help create safer and more useful artificial intelligence (AGI). Sparrow is currently not available for public use. Because it is difficult to determine what makes a conversation successful, training conversational AI can be a challenging problem. We use reinforcement learning (RL) to address this problem. This is a form that uses people's feedback and the preference feedback of study participants to train a model about how useful an answer is. We show participants multiple models of the same question, and ask them which one they prefer.

Integrate our text analytics APIs into your product, platform, and application to add world-leading NLP. This is the most complete NLP feature stack available. It has been 19 years in development and is constantly improving with new configurations, models, and libraries. You can determine whether a piece is positive, neutral, or negative. Sort and organize documents into configurable groups. Determine the intended purpose of customers and reviewers. Locate people, places and dates. Find companies, products, jobs, titles and more. Our text analytics and NLP systems can be deployed on any combination of public, private, hybrid, or on-premise cloud infrastructures. Our core text analytics and natural-language processing software libraries are available to you. This product is ideal for data scientists and architects who need to have full access to the underlying technology, or for on-premise deployment security or privacy reasons.

NLP software libraries and text analytics for on-premise integration or deployment. Integrate Salience in your enterprise business intelligence architecture, or white label it within your data analytics product. Salience can process 200 tweets per seconds while scaling from one process core to entire data centers with small memory footprint. For higher levels of ease, you can use Java, Python, C#, or the native C/C++ interface. You have full access to the technology. You can tune every text analytics function and NLP feature. This includes tokenization and part-of-speech tagging, sentiment scoring, categorization and theme analysis. Based on a pipeline model that includes NLP rules and machine-learning models. Identify where issues are occurring in the pipeline. You can adjust specific features without affecting the entire system. Salience runs entirely on your servers, but you can also offload sensitive data to the cloud servers.

Business end-users have the ability to ask the same questions they ask the data team in Slack, Teams and email. There is no need to "finesse" about how they write their questions, nor do they have to learn a new platform. All questions are saved in a knowledge base. End-users of business do not need to ask the same questions again. The more Seek is used, then the more intelligent it becomes in working with your data. It includes a code editor, knowledgebase, data warehouse integrations and many other features. Our obsession is data security. We are SOC2 Type I certified and offer flexible permissions for users and groups.

Ask any data question in plain English. Connect your database, ask a question, get an answer. You can get the answers you need even if you don't know SQL. Finally, you can self-serve your data insights. Simply query in plain English. Channel can help you understand the basics of your warehouse. Beautiful visualization. Channel automatically generates beautiful visualizations from your data and chooses the appropriate chart type based upon your preferences. Self-service, for real. Channel can be used by everyone, from product managers to analysts. You don't have to wait for the data you want. Answer the questions that you should be asking. Channel uncovers the insights you didn’t know you needed by analysing your warehouse in advance. Combine your knowledge. Channel learns from all questions it has ever asked and prompts you with the most important questions. Sharing definitions. Keep track of which terms are important to your organization.

MindMeld Conversational Artificial Intelligence Platform is a Python-based machine-learning framework that includes all the utilities and algorithms required to build high-quality conversational applications. MindMeld was developed over many years of building and deploying numerous advanced interfaces. It is optimized for building conversational assistances that demonstrate deep understanding of a specific use case or domain, while offering highly useful and versatile conversations. Powerful command-line utilities, and Python APIs that can be used to adapt to almost any product requirement. Access to the most advanced machine learning algorithms and simplified management of large amounts of custom training data. Enhanced entity recognition and resolution of automatic speech recognition (ASR), errors.

Upload any document such as a textbook, code documentation or bank statements to get answers to your questions. You can request a summary of the document or specific information. Chatur formats the answer according the doc, making it easier to find answers without having to go through the entire document. Chatur will find the best answers to your question in the doc. You are now one step closer to excelling at your work! Ask questions about all types of PDFs. We have you covered, whether it's Code Documentation, Bank Statements, or Legal Documents.

Openlayer will accept your data and models. Work with the team to align performance and quality expectations. You can quickly identify the reasons behind failed goals and find a solution. You have all the information you need to diagnose problems. Retrain the model by generating more data that looks similar to the subpopulation. Test new commits in relation to your goals, so that you can ensure a systematic progress without regressions. Compare versions side by side to make informed decisions. Ship with confidence. Save time on engineering by quickly determining what drives model performance. Find the quickest ways to improve your model. Focus on cultivating high quality and representative datasets and knowing the exact data required to boost model performance.

Toxicity on the internet is a serious problem for platforms and publishers. Online abuse and harassment can silence important voices, forcing marginalized people to leave the conversation. Publishers, platforms and individuals can use the Perspective platform to power a wide variety of different use-cases, such as in comment sections, forum posts, or text-based conversations. Developers can integrate and customize the Perspective platform for a variety of audiences. Moderators can use Perspective to quickly review and prioritize comments that have been reported. Perspective can provide feedback to commenters that post toxic comments. Developers create tools that allow readers to control what comments they see. For example, hiding comments. Perspective increases engagement by helping platforms create safe environments for discussion and by helping individuals contribute healthier online.