Best Text Mining Software for Unremot

Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.

All-in-one domain data resource to obtain website logos, company information, categorization and much more from an email or URL. Our website categorization API can be used to classify a company within 385 topic categories. Our classification taxonomy, which is based on IAB V2 standards, can be used for 1-to-1 personalization, marketing segmentation and online filtering. Our classification taxonomy uses the IAB V2 standard. It can be used for 1-1 personalization and marketing segmentation. Online filtering can also be done using it. There are three top-level categories to choose from. We have three top-level category structures to choose from, whether you require the IAB taxonomy’s deep categorization of a website or prefer a simpler category structure. Our website categorization API uses machine learning (ML), to scan a website's meta tags and content. It extracts the text from the site to classify it and assigns up three categories using natural language processing (NLP).

You can find mentions of people, places, brands, and events in documents as well as social media. Access additional information about entities easily. You can quickly and easily classify multilingual text into pre-defined taxonomies, or create your own custom classification scheme. Short texts, such as product reviews, can be used to identify whether the opinion expressed is positive, neutral, or negative. Identify key-phrases and concepts that are relevant to the context in articles and social media posts. Compare two texts and calculate their syntactic or semantic similarity. Understanding the difference between two texts on the same subject. Clean text articles can be extracted from blogs, newspapers, and other websites. Get rid of advertising and boilerplate to get the article text and images.

Komprehend AI APIs provide the most complete set of document classification and NLP programming APIs for software developers. Our NLP models have been trained on more than a million documents and provide state of the art accuracy for most NLP use cases, such as sentiment analysis or emotion detection. Get our Text Analysis API free demo. It provides useful insights from textual data and maintains high accuracy in real life. It can work with a variety data types, from healthcare to finance. Private cloud deployments via Docker containers and on-premise deployments are supported. This prevents data leakage. Your data is protected and the GDPR compliance guidelines are followed to the letter. Monitor online conversations to understand the social sentiment surrounding your brand, product, and service. Sentiment analysis, also known as contextual mining of text, is a method that extracts and identifies subjective information from the source material.

Allganize's AI solutions are the industry leader and provide businesses with the best tools to automate employee and customer support. Within the first four months of implementation, automate 72% of all monthly support tickets. Our AI will automate simple customer requests, allowing your agents to focus on more complicated issues. Employees can ask questions and find answers from multiple documents in a conversational manner. Pre-trained conversational AI chatbot for your websites that automates customer support. Intelligent search that instantly extracts precise answers from any document. Automated extraction of key words from any document and classification, providing valuable insights. Uses natural language to understand the context of product reviews and detect positive and negative experiences. To accurately determine user intent, assigns predefined categories to customer support conversions.

Enterpret helps companies analyze customer feedback at scale. We solve complex problems in NLP and ml-ops as well as analytics and data visualization. We exist to solve pain for our customers - we constantly learn about their most critical pain points, and then solve them. What we do is determined by our goals. We set ourselves ambitious goals and work hard to achieve them. We use the failures we experience to learn from them and improve. The system of intelligence for customer feedback ensures that you build the right thing first. Joining feedback with user behavior segments will help you leverage the feedback that users have already provided. Save time by creating user interviews and surveys.