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Will the Future of Search Be Semantic in 2021?
An enterprise has vast amounts of data that keeps growing. The data is invaluable but in countless file formats including audio, video and text, data sources, intranet, and email systems. Finding the information, on time.
Visit Us:- https://visual.ly/community/Others/other/will-future-search-be-semantic-2021
Business Intelligence Driven by AI, Machine Learning & Text Analytics | Repustate
In the era of big data how does a business harness the insights that lie deep within their enterprise data? One of the main ways is to apply artificial intelligence (AI) to text analytics. AI can help you automate the discovery of the most important insights that are hidden in your enterprise data.
Visit Us:- https://www.edocr.com/v/zedzeql3/repustate/Business-Intelligence-Driven-by-AI-Machine-Learnin
Harness the Power of Online Reviews | Repustate
In today’s digital world businesses need to make sense of online reviews and analyze what customers are trying to tell them. They can do this using AI-powered text analytics and sentiment analysis. One of the basic lessons that all companies should follow is that success lies in the hands of their customers.
Visit Us:- https://jmp.sh/hV9V57V
AI-Powered Healthcare Data Analysis | Repustate
Healthcare data analytics refers to the collection and analysis of patient data to improve medical care and patient experience. Patients go through a continuum of caregiving from diagnosis to recovery. This medical journey is called patient experience (PX). Artificial intelligence, in the form of machine learning, can be applied to this type of analytics to make patient experience data reviews faster, more accurate, and multilingual. The quality-of-care interactions that patients receive at different points in their journey culminate as their holistic experience. Uncovering PX using healthcare analytics can help medical providers make required improvements across their enterprise.
Visit Us:- https://www.repustate.com/blog/ai-powered-healthcare-data-analysis/
An Introduction to Semantic Video Analysis & Content Search | Repustate
Semantic video analysis & content search ( SVACS) uses machine learning and natural language processing (NLP) to make media clips easy to query, discover and retrieve. It can also extract and classify relevant information from within videos themselves. Social media, smartphones, and advanced video recording tools have all contributed to an explosion in the use of video by people and businesses. As the number of video files grows, so does the need to easily and accurately search and retrieve specific content found within them. With video content AI, users can query by topics, themes, people, objects, and other entities. This makes it efficient to retrieve full videos, or only relevant clips, as quickly as possible and analyze the information that is embedded in them.
Visit Us:- https://www.repustate.com/blog/guide-semantic-video-analysis/
What Is Semantic Video Analysis?
Semantic video content analysis (VCA) is an AI-based technique used to extract the main thematic message from videos. It includes tasks such as face detection, template matching, caption extraction, moving object segmentation, and more. Visit Us:- https://sites.google.com/view/whatis-semantic-video-analysis/video-content-analysis
Enterprise Semantic Search for Audio, Video and Text Data | Repustate
The most powerful semantic search tool, Deep Semantic Search, lets you search your data using natural language processing. Imagine being able to search your audio, video and text data no matter the language. That dream is now a reality with Repustate’s enterprise semantic search. Visit Us:- https://jmp.sh/1LE3il0
Understanding the Concept of Multilingual Semantic Similarity | Repustate
Learn how Repustate’s semantic engine identifies the similarity in lexically different strings of text. To know more about how semantic search can help your business, book a demo with us today. Visit Us:- https://visual.ly/community/Videos/other/understanding-concept-multilingual-semantic-similarity-repustate
Arabic Sentiment Analysis API | Repustate
Repustate's Arabic sentiment analysis solution is made dedicatedly for the Arabic-speaking world. It understands major Arabic dialects including the Gulf Peninsular, Egyptian, and Levantine Arabic dialects.
Visit Us:- https://visual.ly/community/Others/other/arabic-sentiment-analysis-api-repustate
How Can Banks Improve Customer Experience?
Customers are important to all industries. Yet they have mixed feelings toward their banks, Banks are often seen as necessary evils, who are profit-hungry, fee-charging monoliths.
Visit Us:- https://www.edocr.com/v/y3nadzmq/repustate/how-can-banks-improve-customer-experience
Call Center Sentiment Analysis | Repustate
Call centers can often be your most important touchpoint for customer loyalty and retention. Call centers usually deal with present customer concerns and issues and are thus frequently overlooked as essential sources of customer and brand insights.
Visit Us:- https://jmp.sh/G1jvNav
Briefly Clarification of Text Analytics.
Text Analytics is an artificial intelligence (AI) based technology that extracts key insights from unstructured data, using natural language processing (NLP). Text analytics does away with the manual processing of text data. It categorizes the data in such a way that Machine Learning (ML) algorithms can analyse it based on different topics, themes, etc. This is how companies can draw meaningful and actionable information from survey responses, social media comments and videos, and product & service reviews. Do you want to understand your customers on a deeper level? Decipher the true meaning behind hashtags when your customers use them? With Repustate's text analytics, you can do all that. Your customers have a lot to say but a few words won't do justice to the true meaning behind a social media post or review. With our text mining software, you can understand the voice of customer and serve exactly what customers want from your company. Is “Text Analytics” The Same As “Text Analysis”? No. Text analytics and text analysis are not the same. They are separate techniques that serve different purposes. But both are required to draw insights from data. Text analysis understands the intent and meaning behind words, while text analytics allows that data to be presented in graphs and charts. Text analysis uses Named Entity Recognition (NER) and text classification to detect entities (people, events, brands), topics, sentiment, and intent in a text. This translates to getting competitor evaluation, brand insights, location-based information, and such. To analyse data that is in audio and video formats, it uses Video Content Analysis (VCA) and Audio Analysis. Text analysis also applies techniques such as concordance and collocation to identify words that occur commonly, or together. In this way, it is able to understand a text semantically and in the correct context. For example, the algorithm will figure out that at an airport, the words “flight delay”, will be used together more often than not. Or the term “air conditioning” is used more often together in hospitality than otherwise. Data analysts can view all the semantic insights derived from text analysis in a graphical format using text analytics. These graphical representations give companies a tangible view of how the information is affecting them. They can use this information to study historical data and identify past trends, and strategize on what they can do for the future.
Visit Us For More Information:- https://www.repustate.com/text-analytics-api/
Detailed Explanation of Sentiment Analysis
Sentiment analysis is the mining of unstructured text data to extract, classify, and understand the feelings, opinions, or meanings expressed by customers, employees, or other stakeholders. Sentiment mining further detects if the expressed feelings and thoughts are positive or negative. Businesses use this emotion analysis to understand the overall customer sentiment towards their brand, product, or service.
Repustate's sentiment analysis API can perform data mining to extract emotional insights from social media channels, videos, podcasts, customer calls, news, surveys, blogs, forums, or any of your company data. In the modern world, the customer is more vocal about their experience than ever before. Consumers have moved out of the enclosure of filling forms or writing in forums about their experience. Now they have moved into the space of direct digital communication with brands. Customers use all kinds of social media channels to share their experiences and create a ripple in other consumers' perceptions. This is where our AI-driven semantic mining comes into play; we help you assess sentiment related to your business aspects while your consumers are sharing their experience with the world. It helps businesses explore new opportunities and manage their reputation. Here is a real-world example of how we assessed a big restaurant chain's consumer sentiment while facing a brand PR challenge. Visit Us For More Information:- https://www.repustate.com/sentiment-analysis/
6 Sentiment Analysis Real-World Use Cases | Repustate
Does your marketing strategy include uncovering brand and customer insights from YouTube videos? If not, it should. There are virtually millions of feelings and opinions about brands expressed by people on YouTube every day. Yet, when social media sentiment analysis is talked about, most people think of Twitter or Facebook, but not YouTube.
Visit Us:- https://www.repustate.com/blog/youtube-video-sentiment-analysis-for-brand-insights/
Sentiment Analysis for Youtube Videos | Repustate
Does your marketing strategy include uncovering brand and customer insights from YouTube videos? If not, it should. There are virtually millions of feelings and opinions about brands expressed by people on YouTube every day. Yet, when social media sentiment analysis is talked about, most people think of Twitter or Facebook, but not YouTube.
Visit Us:- https://www.repustate.com/blog/youtube-video-sentiment-analysis-for-brand-insights/
How to Collect Patient Voice Data for a Better Healthcare Experience?
Patient voice helps healthcare providers understand patient requirements and deliver improved quality of care. It is crucial information that hospitals use to ensure that doctors, patients, and caregivers all feel heard in an evolving healthcare system.
Visit Us:- https://www.repustate.com/blog/source-of-patient-voice-data/
Social Listening of Tiktok with Sentiment Analysis | Repustate
Marketing & advertising has moved beyond traditional mediums like never before. User-generated social media content by consumers and influencers, especially on TikTok, is a gamechanger in influencing consumers. Visit Us:- https://www.repustate.com/blog/tiktok-video-sentiment-analysis-for-brand-insights/