Natural language processing or NLP coupled with AI programs are yielding big rewards by enabling machines to understand human conversation involving words, link, texts and imagery available on the digital landscape. Leading-edge data grouping and labelling methodologies like text annotations, text classification, relation extraction, sentiment analysis are powering AI programs to perform complex functions in minutes. This is improving overall business processes, and helping deliver measurable results while enhancing the performance of customer-centric solutions.
A branch of artificial intelligence, computer vision is playing a critical role in interpreting the world around us through object classification, identification and tracking. Leading business sectors are making use of this path-breaking alternative to innovate new practises and develop solutions for customers across verticals like medical, finance, security to create safe and personalized experiences. The application of computer vision enabled processes, powered by data interpretation techniques of image annotation, video annotation, 3D point annotation, is making the physical world work for us and add value to global businesses.
The popularity of social media channels has added opportunities and concerns, in equal proportions. As an ever-increasing phenomenon in the digital world, content generation has come up as the most utilized means to communicate across the digital turf. Proving as the leading source of objectionable, violent, offensive, repulsive and obnoxious content, various forms of user generated textual, graphical and visual content is turning the digital ecosystem disorderly. To tackle this and remove such content, AI enabled content moderation methodologies are cutting the chaos to bring the much required order and help clients focus on value creation for their business
Originally developed as an automated tool for the service of visually impaired people, text to speech (or TTS) has emerged as a preferred tool for many technology service providers for improving customer service. In simple language, a TTS converts written text into natural speech that can be heard and understood by any human user.Text-to-speech technology converts any digital content including website content, online E-books, PDF files, and even online “news” content into audio content that consumers can listen to on their personal devices while on the move.
Analyzing the sentiments of user-generated content helps businesses and commercial organizations understand the opinions, feelings, viewpoints, thought processes, and perspectives of individuals, communities, religious groups towards a brand, product, or service. This uses the mix of natural language processing, text analytics, and computational linguistics to understand and extract subjective information. Sentiment Analysis is used for stock market predictions helping investors to make the right decision while investing in the equity market, forex currency or commodity trading.
Machine learning and NLP are used in Intent Classification to connect texts or phrases with a certain purpose. Intent classifiers, on the other hand, must first be taught using text examples, often known as training data. HUBLO AI offers a high-quality Intent Classification Dataset to make such conversations more interactive and supportive for potential customers.