The Semantic Search Capabilities of Why It Is a Key Differentiator

Google has been constantly fine-tuning its search capabilities, taking it closer and closer to how human beings think, speak and write. From searching for keywords, in 2013, they released an update for the Hummingbird that used the principles of semantic search, enabling natural language queries. Its launch of RankBrain in 2015 leveraged artificial intelligence to learn and analyze search results that performed well. These two technologies were able to prioritize search results based on user intent and semantics. Over the years, voice search has also gained popularity and is a form of semantic search.

Indium Software’s semantic search tool follows the same principles to search for content, be it text, audio or visual, using artificial intelligence (AI) algorithms. It can uncover relevant data and provide access to the large volumes of information available online and in the internal repositories

Traditional vs Semantic Search

In the traditional keyword search method, statistical algorithms searched based on the words without understanding the meaning or the context. Semantic search uses the advanced cognitive features of artificial intelligence to comprehend the human language and list meaningful information extracted from any website or a knowledge repository. This takes the stress away from specific words and enables any relevant information available on a topic to be accessed with ease. semantic search can be trained to gain a deep understanding of the text stored in your databases and extract all that is relevant for your business activities, be it customer service or risk management, management of enterprise knowledge or corporate intelligence. The three reasons that set apart are:

  1. High precision performance of your search engine with a superior quality of search results that is quicker, precise and complete.
  2. Improved user experience due to the automatic comprehension of natural language combined with a user friendly and interactive interface. Greater accuracy of the search results that is more meaningful due to the algorithm seeking content-wise synonyms instead of merely looking for the keywords.
  3. The semantics-based search engine also enables the tagging, automatic correlation and enrichment of internal and external data for analysis and value addition.

Benefits of

Businesses today deal with large volumes of data that comes in structured and unstructured formats, stored in multiple locations. This data is becoming critical for improving operational efficiency, customer delight, product and process quality, marketing strategies and much more. Finding the relevant data in a timely manner is becoming essential. While it is humanly impossible to review all the data, keyword search can be very limiting in unearthing information that could have a different set of words.

A sophisticated, semantic search engine such as not just searches based on the words used for searching but their meanings and context as well to improve the accuracy and relevance of the results it extracts. It is also crucial for maintaining an efficient workflow that allows users to do research quickly.


Use Cases

The semantics-based search engine has a wide range of applications across industries. It is useful for:

  1. Sentiment analysis: Businesses can listen to social media chatter better using semantics search and understand what their customers are saying about them. With reputation management becoming very essential, sentiment analysis solution has indispensable in ensuring positive customer experience and addressing any negative remarks through prompt action. Since the same reviews can have positive and negative comments, semantic search helps in gathering the nuances of the review and working on its strengths and weaknesses.
  2. Classification in E-Commerce: E-commerce marketplaces deal with thousands of products that need to be classified according to the product category they belong to. This can be impossible manually and also prone to human errors. Semantic search capabilities of can help match product descriptions with the appropriate categories for accurate classification.
  3. Improve Search Engine Capabilities: Semantics search can be leveraged by e-commerce sites to improve the performance of their product mix by enabling cross selling and upselling.
  4. Improve Footfalls: Businesses can use semantic search to understand which regions they can improve customer footfall and create targeted promotions accordingly.
  5. Internal Document Search: Finding documents, images and audio files more easily

The benefits are many and for every industry. Indium Software with its two decades of experience and expertise in cutting edge technologies across industry segments provides, a semantics-based search engine that can make your data management and retrieval from disparate systems and formats easier. The company’s deep understanding of the needs of different industries and how digital technologies can be leveraged to meet those needs makes it a partner in true sense. If you wish to benefit from the insights provides, schedule a demo for more insights.

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