This makes the analysis of texts much more complicated than analyzing the structured tabular data. This tutorial will try to focus on one of the many methods available to tame textual data. This is why semantic analysis doesn’t just look at the relationship between individual words, but also looks at phrases, clauses, sentences, and paragraphs. In [12] and [16], we reported a neural network-based textual categorization technique for digital library content classification. A category map is the result of performing neural network-based clustering (self-organizing) of similar documents and automatic category labeling. Documents that are similar to each other (in noun phrase terms) are grouped together in a neighborhood on a two-dimensional display.
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)
As the analyst discovers the differences, it can help him or her understand the unfamiliar grammatical structure. Due to the way it is carried out and the grammatical formalisms used, semantic analysis forms the foundation for the operation of cognitive information systems. Semantic analysis processes form the cornerstone of the constantly developing, new scientific discipline—cognitive informatics. Cognitive informatics has thus become the starting point for a formal approach to interdisciplinary considerations of running semantic analyses in various cognitive areas. Semantics can be identified using a formal grammar defined in the system and a specified set of productions. When employing modifications of this tool, it is possible to arrive at slightly different results.
Linking of linguistic elements to non-linguistic elements
The majority of language members exist objectively, while members with variables and variable replacement can only comprise a portion of the content. English semantics, like any other language, is influenced by literary, theological, and other elements, and the vocabulary is vast. However, in order to implement an intelligent algorithm for English semantic analysis based on computer technology, a semantic resource database for popular terms must be established. ① Make clear the actual standards and requirements of English language semantics, and collect, sort out, and arrange relevant data or information.
- Google incorporated ‘semantic analysis’ into its framework by developing its tool to understand and improve user searches.
- Semantic analysis processes form the cornerstone of the constantly developing, new scientific discipline—cognitive informatics.
- Moreover, it is often possible to write the intermediate code to an output file on the fly, rather than accumulating it in the attributes of the root of the parse tree.
- A concrete natural language is composed of all semantic unit representations.
- Simultaneously, a natural language processing system is developed for efficient interaction between humans and computers, and information exchange is achieved as an auxiliary aspect of the translation system.
- As a result, preposition semantic disambiguation and Chinese translation must be studied individually using the semantic pattern library.
All factors considered, Uber uses metadialog.com to analyze and address customer support tickets submitted by riders on the Uber platform. The analysis can segregate tickets based on their content, such as map data-related issues, and deliver them to the respective teams to handle. The platform allows Uber to streamline and optimize the map data triggering the ticket.
Purpose of the Study
When studying literature, semantic analysis almost becomes a kind of critical theory. The analyst investigates the dialect and speech patterns of a work, comparing them to the kind of language the author would have used. Works of literature containing language that mirror how the author would have talked are then examined more closely. For example models for wind turbines are usually presented as computer programs together with some accompanying theory to justify the programs. For semantic analysis we need to be more precise about exactly what feature of a computer model is the actual model. The characteristic feature of cognitive systems is that data analysis occurs in three stages.
- In other words, we can say that lexical semantics is the relationship between lexical items, meaning of sentences and syntax of sentence.
- The English translation system saves the collected translated materials in the system database; after semantic detection of the included language, information feature extraction, and word and semantic analysis in a specific context [8], it finally feeds back the results to the users.
- Examine the changes in system performance throughout this process, and choose the parameter value that results in the best system performance as the final training adjustment parameter value.
- Semantic analysis, a natural language processing method, entails examining the meaning of words and phrases to comprehend the intended purpose of a sentence or paragraph.
- Eagerness and anxiousness activates an effort to achieve greater pleasure, or more permanent ownership of it.
- Moreover, granular insights derived from the text allow teams to identify the areas with loopholes and work on their improvement on priority.
For this reason I think we should hesitate to call the function a ‘model’, of the spring-weight system. (Later we will see that it’s closer to a semantic model, though it isn’t quite that either.) Nor should we confuse functions in this sense with the ‘function’, of an artefact as in functional modelling (on which see the chapter by Vermaas and Garbacz in this Volume). The cases described earlier lacking semantic consistency are the reasons for failing to find semantic consistency between the analyzed individual and the formal language defined in the analysis process.
The Fundamentals of Cognitive Informatics
In this approach, a dictionary is created by taking a few words initially. Then an online dictionary, thesaurus or WordNet can be used to expand that dictionary by incorporating synonyms and antonyms of those words. The dictionary is expanded till no new words can be added to that dictionary. This form of SDT uses both synthesized and inherited attributes with restriction of not taking values from right siblings. Semantic analyzer receives AST (Abstract Syntax Tree) from its previous stage (syntax analysis). Semantic analysis uses Syntax Directed Translations to perform the above tasks.
What are the four types of semantics?
- Formal Semantics. Formal semantics is the study of the relationship between words and meaning from a philosophical or even mathematical standpoint.
- Lexical Semantics.
- Conceptual Semantics.
- William Shakespeare.
This article explains the fundamentals of semantic analysis, how it works, examples, and the top five semantic analysis applications in 2022. The research objective was to identify the pragmatic features of phonic expressive means in translations of contemporary English poetry. The methods included a comparative analysis, phono-semantic and phono-stylistic interpretation of the original poems and their translations, and O.
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This method can directly give the temporal conversion results without being influenced by the translation quality of the original system. Through comparative experiments, it can be seen that this method is obviously superior to traditional semantic analysis methods. The sentence structure is thoroughly examined, and the subject, predicate, attribute, and direct and indirect objects of the English language are described and studied in the “grammatical rules” level. Taking “ontology” as an example, abstract, concrete, and related class definitions in many disciplines, etc., in the “concept class tree” process, are all based on hierarchical and organized extended tree language definitions.
- The same process was utilized when studying the semantic differential of the notion of ugliness—a natural opposite of the notion of beauty—with both results subsequently compared.
- The analogue model (12) doesn’t translate into English in any similar way.
- After pre-processing the collected social media text big data, the interference data that affect the accuracy of non-model prediction are removed.
- On the contrary, associations were more frequently given that pointed toward intellectual activities and feelings.
- Context plays a critical role in processing language as it helps to attribute the correct meaning.
- Calculate the cosine distance between the documents score vectors using pdist.
The proposed approach goes to the granular level of extrinsic and intrinsic relationship between terms and clusters highly semantically related relevant domain terms where each cluster represents a user interest area. The semantic analysis of terms is done starting from co-occurrence analysis to extract the intra-couplings between terms and then the inter-couplings are extracted from the intra-couplings and then finally clusters of highly related terms are formed. The experiments showed improved precision for the proposed approach as compared to the state-of-the-art technique with a mean reciprocal rank of 0.76.
Semantic analysis (compilers)
The semantic analysis process begins by studying and analyzing the dictionary definitions and meanings of individual words also referred to as lexical semantics. Following this, the relationship between words in a sentence is examined to provide clear understanding of the context. Simply put, semantic analysis is the process of drawing meaning from text.
![semantic 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)
Chatbots are available 24/7, making it convenient for customers to get the information they need at any time. Online shopping bots are moving from one ecommerce vertical to the next. As an online retailer, you may ask, “What’s the harm? Isn’t a sale a sale?”. Read on to discover if you have an ecommerce bot problem, learn why preventing shopping bots matters, and get 4 steps to help you block bad bots. H&M is one of the most easily recognizable brands online or in stores. Hence, H&M’s shopping bot caters exclusively to the needs of its shoppers.
- Banks and financial institutes are one of the leading chatbot users.
- Another leading shopping bot, PriceSCAN offers a wider selection of products than mySimon.com because it includes offers from merchants without Web sites.
- In addition, the Pizza Hut bot provides customers with the latest promotions, as well as and answers to frequently asked questions.
- Once you have identified which bots are legally allowed for your business, then you can freely approach a Chatbot builder with your ordering bot design proposal.
- While good bots are welcome, some bots can be malicious, especially if they are in the wrong hands.
- When a potential customer logs out before purchasing online, a Chatbot with cart abandonment functionality increases the likelihood that the user will return to complete the purchase.
And it’s not just individuals buying sneakers for resale—it’s an industry. As Queue-it Co-founder Niels Henrik Sodemann told Forbes, “We believe that there [are] at least a hundred organizations … where people can sign up to get the access to the sneakers.” As streetwear and sneaker interest exploded, sneaker bots became the first major retail bots. Unfortunately, they’ve only grown more sophisticated with each year. Only when a shopper buys the product on the resale site will the bad actor have the bot execute the purchase. Probably the most well-known type of ecommerce bot, scalping bots use unfair methods to get limited-availability and/or preferred goods or services.
What the best shopping bots all have in common
Or think about a stat from GameStop’s former director of international ecommerce. “At times, more than 60% of our traffic – across hundreds of millions of visitors a day – was bots or scrapers,” he told the BBC. With recent hyped releases of the PlayStation 5, there’s reason to believe this was even higher. Marketing spend and digital operations are just two of the many areas harmed by shopping bots. Denial of inventory bots can wreak havoc on your cart abandonment metrics, as they dump product not bought on the secondary market.
- Operator brings US-based companies and brands to you, making the buying process much easier.
- Malicious actors use such data to undercut deals from genuine retailers by lowering their prices.
- You can easily build your shopping bot, supporting your customers 24/7 with lead qualification and scheduling capabilities.
- Typically, these sites rank products by price and allow shoppers to link directly to an online merchant’s site to actually make a purchase.
- Brendan McConnell is a freelance writer, SEO consultant, and fractional content marketer.
- A virtual waiting room is a page where customers and bots are redirected when there’s an unusual spike of traffic on a website.
Retailers that don’t take serious steps to mitigate bots and abuse risk forfeiting their rights to sell hyped products. Last, you lose purchase activity that forms invaluable business intelligence. This leaves no chance for upselling and tailored marketing reach outs.
Bots create faulty analytics for decision-making
This retail bot works more as a personalized shopping assistant by learning from shopper preferences. It also uses data from other platforms to enhance the shopping experience. Turn conversations into customers and save time on customer service with Heyday, our dedicated conversational AI chatbot for ecommerce retailers. What’s driving the ecommerce chatbot revolution—a market that’s expected to hit $1.25 billion by 2025? Cost savings, better customer service, and multi-channel interactions at scale.
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)
H&M’s bot functions much like a personal shopping assistant. After asking a few questions regarding the user’s style preferences, sizes, and shopping tendencies, recommendations come in multiple-choice fashion. CelebStyle allows users to find products based on the celebrities they admire. Online ordering bots will require extensive user testing on a variety of devices, platforms, and conditions, to determine if there are any bugs in the application. Shopping bots minimize the resource outlay that businesses have to spend on getting employees. These Chatbots operate as leaner, more efficient digital employees.
The other side of shopping bots
They are less costly for a business at the expense of company health plans, insurance, and salary. They are also less likely to incur staffing issues such as order errors, unscheduled absences, disgruntled employees, or inefficient staff. ShopBot was discontinued in 2017 by eBay, but they didn’t state why. My assumption is that it didn’t increase sales revenue over their regular search bar, but they gained a lot of meaningful insights to plan for the future. Not many people know this, but internal search features in ecommerce are a pretty big deal. EBay’s idea with ShopBot was to change the way users searched for products.
![online shopping 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)
I’m trying to buy a PS5, they’re all sold out, and when I find one on a secondary market it’s $200 more or $300 more. The latest retail industry news and trends, delivered straight to your inbox every Monday and Thursday morning. Get expert social media advice delivered straight to your inbox. First, you’ll need to add the chatbot code to your website. Use Google Analytics, heat maps, and any other tools that let you track website activity. This will help determine how and where to deploy your chatbot.
And a full transcript: bots killing e-commerce with Queue-it CEO Niels Sodemann
To bypass it you’d need residential proxies to help hide your IP address. I learned that AI is used for a couple of things when it comes to you and your online shopping habits. Some companies use it to understand your behavior while others are using it to detect credit card fraud. Here is the simple three-step process to make a unique bot for online shopping. Do you know how you can retain your customers for a longer time?
Scalper bots snapped up tickets to Eurovision – summer events will … – CyberNews.com
Scalper bots snapped up tickets to Eurovision – summer events will ….
Posted: Fri, 28 Apr 2023 07:00:00 GMT [source]
With the help of codeless bot integration, you can kick off your support automation with minimal effort. You can boost your customer experience with a seamless bot-to-human handoff for a superior customer experience. You can increase customer engagement by utilizing rich messaging. In reality, shopping bots are software that makes shopping almost as easy as click and collect.
Interested in launching your own chatbot?
The software program could be written to search for the text “In Stock” on a certain field of a web page. A “grinch bot”, for example, usually refers to bots that purchase goods, also known as scalping. But there are other nefarious bots, too, such as bots that scrape pricing and inventory data, bots that create fake accounts, and bots that test out stolen login credentials.
Top shopping periods see an increase in bot attacks – Security Magazine
Top shopping periods see an increase in bot attacks.
Posted: Mon, 24 Apr 2023 07:00:00 GMT [source]
Customers just need to enter the travel date, choice of accommodation, and location. After this, the shopping bot will then search the web to get you just the right deal to meet your needs as best as possible. Travel is a domain that requires the highest level of customer service as people’s plans are online shopping bots constantly in flux, and travel conditions can change at the drop of a hat. Shopify Messenger also functions as an efficient sales channel, integrating with the merchant’s current backend. The messenger extracts the required data in product details such as descriptions, images, specifications, etc.
Measure the ROI of your social media
These may give you insights into the type of information that your customers are seeking. Find spots in the user experience that are causing buyer friction. Finding the right chatbot for your online store means understanding your business needs. Different chatbots offer different features that can address both. Besides the many benefits of shopping bots, some have more nefarious purposes.
- One of the biggest advantages of shopping bots is that they provide a self-service option for customers.
- Dishonest competitors who wish to fetch unjust advantage can initiate this kind of activity.
- Not to sound like a broken record, but again, it depends on what you want to buy and how much of it.
- These Chatbots operate as leaner, more efficient digital employees.
- If we talk about the ticketing in North America, there’s probably 40 organizations, at least, that are snapping tickets out of the primary market.
- Such automation across multiple channels, from SMS and web chat to Messenger, WhatsApp, and Email.
They promise customers a free gift if they sign up, which is a great idea. On the front-end they give away minimal value to the customer hoping on the back-end that this shopping bot will get them to order more frequently. Online food service Paleo Robbie has a simple Messenger bot that lets customers receive one alert per week each time they run a promotion. They too use a shopping bot on their website that takes the user through every step of the customer journey. Shopping bots are becoming more sophisticated, easier to access, and are costing retailers more money with each passing year. In the TechFirst podcast clip below, Queue-it Co-founder Niels Henrik Sodemann explains to John Koetsier how retailers prevent bots, and how bot developers take advantage of P.O.
Offer post-sale support
The first step is to take stock of what you need your chatbot to do for your business and customers. Not to sound like a broken record, but again, it depends on what you want to buy and how much of it. If you’re looking for a single item or just two, you don’t need proxies. But if you want to buy multiple, especially limited edition or harder to acquire items — you should really consider getting proxies.
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)
As we said, Aerie, a women’s intimates’ retailer, uses a product recommendation chatbot to offer customers a more personalized shopping experience. This chatbot’s main function is to suggest items according to customers’ preferences. By implementing the “this or that” function, the customer has to choose between two options to give a chatbot the idea about their preferences. After narrowing down the customer tastes, the chatbot makes personalized recommendations according to unique style preferences. Another use case of how chatbots deal with abandoned carts is remarketing.
What are bots used for trading?
A crypto trading bot is a computer program that automatically buys and sells assets to take advantage of price discrepancies. A crypto bot automates trades according to a set of predetermined rules.
In this way, the online ordering bot provides users with a semblance of personalized customer interaction. I’m sure that this type of shopping bot drives Pura Vida Bracelets sales, but I’m also sure they are losing potential customers by irritating them. Look for bot mitigation solutions that monitor traffic across all channels—website, mobile apps, and APIs. They plugged into the retailer’s APIs to get quicker access to products. In another survey, 33% of online businesses said bot attacks resulted in increased infrastructure costs.
![online shopping 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)
Which according to the experts is resulting in a number of folks using authorship, attribution, or bot detection systems. Financial companies can use AI to detect suspicious activity that doesn’t match with your current online activity. AI takes online data to infer what your preferences are and what you might buy metadialog.com next. Our certified specialists will find the most optimal solution for your business. Depending on the purpose for which you will be using the chatbot, you can spend anywhere from $0 to $1000 per month. Learn how Discover.bot partner NLX is pushing the evolution of the self-service landscape with their solutions.
Are shopping bots ethical?
Should you allow scalping and the use of Shopping bots? The answer varies depending on who you are asking. The simple answer is no, you should not allow Shopping bots – not if you want to build up a trusted Shopify brand over time . That being said, it is human nature to want what you can not have.
To help ensure this, companies need to adequately train their chatbots for the desired use cases. Additionally, to make sure that it continues to meet the intents your organization set up, it’s essential that this training continues after the bot is launched. A plan for regularly auditing the bot scripts is key to successful bots for business.
![online shopping 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)