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, can be a frustrating experience because it’s a time-consuming task to search for relevant information from a sea of heterogeneous data. Employees often face scenarios where they type keywords into a search bar only to be served a bunch of irrelevant documents that do not match the aim of their searches. And this happens almost on a daily basis across the organization.
Artificial-intelligence based Intelligent Search eliminates this frustration. It uses semantics to do so. Semantics refers to the understanding of the meaning behind words by understanding the context in which they are used. Similar to how the human brain deciphers language. In doing so, it understands the intent and context of a searcher’s query by adding a semantic layer of data across all documents in your enterprise, regardless of file type or location.
The ultimate aim of a semantic search engine is to quickly provide more relevant, precise search results to save time, create efficiency and eliminate discovery annoyance. It helps enterprise companies drive business efficiency and improve workflow while creating more robust, accurate analytics. So is replacing your legacy system by future proofing it with Semantic Search a good idea? Most definitely. Old ways of handling data also lead to a higher risk of data leaks. So a company would not just be making a decision to streamline and enhance efficiency of workflow by adapting new-age Enterprise Search tools, but also safeguarding its data.
Repustate’s Enterprise Semantic Search Solution
Repustate’s AI-driven Semantic Enterprise Search allows you to sift through your enterprise data using natural language and named entity recognition (NER) to find exactly what you are looking for 12 times faster. NER is a next-level search experience that uses machine learning to identify named entities in text data and classifies them further into categories such as company names, brands, products, names of people, industry terms, locations, and more. It allows you to quickly scour through content throughout connected data sources at an enterprise-level and highlight the most relevant part of the content, while providing the source documents or webpage. It employs deep search, which allows the user to unearth data that is hidden and not usually available by a casual search, and so increasing your chances of finding what you are searching for. Further applying aspect-based Sentiment Analysis (ABSA), the solution also captures the tone or mood in the sentiments expressed in the content. It is also customizable, which means it is suited to your enterprise, no matter which industry vertical you are in.
Here are some of the ways in which the Semantic Search engine offers tangible benefits to an organization at an enterprise level.
1. Automatic Semantic Analysis
Repustate’s Semantic Search solution automatically annotates company text data and documents with semantic information, including relevant entities, topics and entity-specific metadata. No training required, Repustate’s Deep Semantic Search comes ready out of the box and is a one-click deployment.
2. Discover Hidden Insights!
The annotation of company text data and documents with semantic information allows your employees to search any and all metadata associated with any given entity that Repustate’s semantic search technology finds. Knowledge workers can search by market cap or industry type for businesses, or search by nationality and gender for politicians. Over 100 metadata properties can be searched — and all automatically determined by our agile, dedicated, deep semantic search.
3. Construct Powerful Queries
Our state-of-the-art Semantic Search comes with a powerful query language that allows you to find exactly the data you want in any language you want. It doesn’t matter if your documents are in English, Arabic or Chinese, our deep search technology has the capability to attend to a query in one language and return the results in another. With deep search technology, searches that otherwise require complex boolean queries and complicated text munging, become easy. Using a simple interface, the solution can perform queries such as:
“Find all documents mentioning American politicians negatively in Arabic, English or Russian.”
Or
“Find all documents mentioning businesses with a market cap greater than $100 billion and whose stock went up by more than 10% in the last 30 days”
Or
“Find all documents mentioning a clothing brand or car brand positively”
As Repustate adds more languages, entities and metadata, the combinations of queries will grow and the possibilities become endless.
SEO copywriting is completed with the content that other users are willing to read and also sharing it that increases the trust factor and authority to help it rank well for the desired keywords.
Latent Semantic Indexing: LSI keywords are actually the keywords that are related to the Primary keywords.
When you are targeting content writing services in Delhi there are few LSI keywords that you should also target in the content i.e., content writing agencies in Delhi and content writer in Delhi NCR.
Make structured data in your blog posts for the Search engines to determine the webpage’s type.
Meta title and Description should contain targeted keywords that make your content more valuable and clickable.
When you have written your headline, you have spent eighty cents out of your dollar.
Would you be concerned about what people are saying about you?
Sentiment analysis is essentially the process of aggregating, understanding, and analyzing the views of people about a particular brand.
The term is also known as mining opinions in data analytics lingo.Sentiment analysis as a process helps the businesses in understanding whether the underlying emotion about their brand is neutral, positive, or negative.We are producing 2.5 quintillion bytes of data daily.
The insights gained through sentiment analysis can enable your brand to create positive sentiment about your brand by designing public relations tools.Benefits of Sentiment AnalysisOptimize your marketing strategyConducting functional sentimental analysis helps brands in optimizing their marketing strategy as they can know if their marketing strategy is proceeding in the correct direction or not.Evaluating the ROI of your marketing campaignSentiment analysis helps in evaluating the ROI of your marketing campaign.
Thus giving you ample time to respond to these negative discussions as the earlier you react, the better it is.By adjusting your marketing campaign according to the preferences of your customers, by improving the product quality substantially and by extending excellent customer support, you will increase the chances of gaining better leads.As they say, in business, perception is more important than the actual thing.
When Nike announced that it was taking the controversial NFL quarterback in its latest announcement, the customer sentiment was overwhelmingly negative.
