Best Natural Language Processing Apps for Android

The on-device NLP Toolkit for .NET processes large text volumes privately and instantly. It never sends data to the cloud. Core features include multilingual sentiment analysis, emotion and sarcasm detection, custom text classification, keyword extraction, and semantic embeddings for deep context. Dynamic sampling uses both CPU and GPU resources for maximum speed and efficiency.

Herbie.ai – A multi-national Conversational AI company (Part of SunSmart Global – 15+ years in enterprise solutions) Digital Transformation of Enterprises Unique Voice-Enabled Virtual Assistants to automate business cases. Franchise spread over 6 Countries – expanding to 13+. Instant enables seamless connection with 12+ Social Media platforms. The business provides end-to-end AI Solution that are "Innovative & Intelligent" in addressing the critical business needs of Mid to Large Corporates, built using advanced technology with applications across business verticals and geographies. Herbie.AI is a Microsoft Gold Application Development Partner, and is ISO 9001:2015 Certified. AI, ML & NLP based, Multi-lingual, Omni-channel, Always-on bots with transfer to agent. Improve your customer experience with ai powered conversational chatbot solution. Provide complete customer service with Herbie AI chatbots for customer support. Lower Customer Support Costs.

GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, image, and video and generates any combination of text, audio, and image outputs. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time (opens in a new window) in a conversation. It matches GPT-4 Turbo performance on text in English and code, with significant improvement on text in non-English languages, while also being much faster and 50% cheaper in the API. GPT-4o is especially better at vision and audio understanding compared to existing models.

Ginger Software is an award-winning productivity-focused company that helps you write faster and better, thanks to grammar checker, punctuation, and spell checker tools which automatically detect and correct misused words and grammar mistakes. With Ginger, the AI-powered writing assistant, correct your texts, improve your style and boost your creativity. Ginger goes beyond spelling and grammar. It takes into account full sentences to suggest context-based corrections. This drastically speeds up your writing - especially for long emails or documents! Let the magic of Ginger’s AI suggest inspiring alternatives for conveying your intended message. It’s particularly useful for streamlining wordy sentences. Double-click a word on any website to enjoy a rich variety of synonyms and expressions to find the perfect match.

Repustate provides world-class AI-powered semantic search, sentiment analysis and text analytics for organizations globally. It gives businesses the capability to decode terabytes of information and discover valuable, actionable, business insights more astutely than ever. From our esteemed clients in the Healthcare industry, to recognised leaders in Education, Banking or Governance, Repustate provides continuous deep dives into complex integrated data across industries. Our solution drives sentiment analysis and text analytics for social media listening, Voice of Customer (VOC), and video content analysis (VCA) across platforms. It encompasses the plethora of slangs, emojis and acronyms superseding the rules of formal language in social media. Whether it’s data from Youtube, IGTV, Facebook, Twitter or TikTok, or your own customer review forums, employee surveys, or EHRs, you can identify the critical aspects of your business precisely.

swivl is simplifying AI training. In general, data scientists typically spend 80% of their time on non-value-added tasks such as finding, cleaning, and annotating data. Our no-code SaaS platform helps teams outsource these data annotation tasks to a vetted network of data annotators to close the feedback loop in a cost-effective way. This involves the action of training, testing, and deploying machine learning models with an emphasis on natural language processing, audio, and generalized data categorization.