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In a blog post titled, Toward a More Intelligent Search: Bing Multi-Perspective Answers, Bing announced they are now incorporating a technology often referred to as sentiment analysis into their version of what Google calls Featured Snippets.
Sentiment Analysis is the ability to understand whether content has a negative or positive sentiment. The implications of how this may affect SEO are far ranging, especially if Google rolls out their version of it.
A criticism Google’s often received is that their featured snippets are sometimes biased by the question asked. Danny Sullivan recently addressed this shortcoming in Google’s featured snippets:
“…people who search for “are reptiles good pets” should get the same featured snippet as “are reptiles bad pets” since they are seeking the same information: how do reptiles rate as pets? However, the featured snippets we serve contradict each other.
This happens because sometimes our systems favor content that’s strongly aligned with what was asked.”
Engineers at Bing were asking similar questions and doing something about it. According to Bing’s announcement:
“There are many questions that don’t have just one answer, but multiple valid perspectives on a given topic. Should I repeat my search with the word “bad” or “good” in it every time I wanted to get a comprehensive picture of a topic and hear the other side? How would I even know how and when to do that? Should I assume that this single answer Bing returned for me was the best or the only answer? Is that the most authoritative page to answer my question?
“…we believe that your search engine should inform you when there are different viewpoints to answer a question you have, and it should help you save research time while expanding your knowledge with the rich content available on the Web.”How to Rank for Intelligent Snippets?
Bing offers clues about what signals they are looking for in sites they rank for intelligent snippets. Here are some of the attributes of the sites they rank:
Authoritative and high quality
Relevant to the topic
Content is easy to crawl and index
Good user experience on the web page
Here are the clues Bing’s announcement disclosed:
The way it works is, when you issue a question:
1. Their Web Search and Question Answering engine selects candidates from web pages.
2. They organize the candidates in clusters to determine similarity and sentiment
3. Bing ranks the most relevant passages from the web pages from each sentiment based cluster
These results are currently limited to a few. However Bing will be rolling out more results in the near future. These kinds of results are also coming to the United Kingdom soon as well.
“This is just the beginning. We will expand this functionality to address many more questions you have, increase coverage, and expand beyond the US, starting with the United Kingdom in the next few months.”How Will This Affect SEO?
Sentiment analysis can play a role in helping search engines understand if a review is negative or positive. So if someone links to a web page with a negative sentiment (as in a negative review), then the search engine will know this is negative and may decide not to count the link or to count it as a negative vote. This may be especially useful for local SEO but it can conceivably creep into regular search as well.
The fact that Bing has confirmed they are using sentiment analysis is big news. That Google has announced their intentions to add it to featured snippets is very important. The big question of course is if this kind of technology will be used in other areas of search.
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Chatbots are used in several industries to provide customers with better service. The chatbot market is estimated to be more than $1 billion in 2025. Although chatbots are becoming increasingly available, customer satisfaction with customer service chatbots is around 30%. This is partially due to the use of rule-based chatbots, which are not intelligent enough to deal with problems in human interactions.
Developing reliable chatbots that can quickly solve users’ problems is crucial to ensuring customer satisfaction. Bots capable of sentiment analysis can help businesses better understand their customers’ needs and take necessary actions.How sentiment analysis can be applied to chatbots?
Through AI-powered methods, chatbots can identify users’ sentiments from their unstructured input and categorize them as positive, negative, or neutral using a labeled dataset. Depending on the emotional tone depicted in the text of customers, chatbots can give responses or take necessary actions.Figure 1. A simplified visualization of how AI-powered chatbots work What are the benefits of chatbot sentiment analysis? 1. Improve customer experience Figure 2. Example utterance sequences and their sentiment scores
Customers use more anger-related and less positive words when they are unhappy with your products, services, or chatbot. So, their conversations with chatbots carry important insights regarding their sentiment.
By implementing sentiment analysis methods, you can understand customers’ needs, complaints, and wishes and take quick action against them. For instance, if a customer is frustrated, sentiment analysis can help your chatbot detect poor experience quickly and transfer the customer to a live agent.
Using sentiment analysis, chatbots can provide a more personalized experience for your customers. You can understand how they feel and what they need and create a friendly atmosphere where they are willing to have more conversations.12. Gather input to improve recommendation systems
Recommendation systems help customers save time searching for what they want and need. However, their satisfaction decreases when the recommendations do not match their needs.
Thanks to chatbot sentiment analysis tools, you can improve recommendation systems in a way that they offer products or services based on consumers’ sentiments and interests. Customers can save time and energy, which increases their satisfaction.
As sentiment analysis methods can also identify customers’ behavioral patterns or purchasing habits, companies can provide wider choices, better recommendations, and personalized offers.23. Monitor your brand reputation
You can learn what your customers think about your products or services through chatbot services and get insights into what they think or feel about your brand. You can manage your brand reputation and develop new strategies using chatbot sentiment analysis methods.
For example, you can ask for feedback through chatbots and understand how customers evaluate your brand.4. Develop new growth strategies Industries that can benefit from chatbot sentiment analysis
All customer-facing industries can benefit from integrating sentiment analysis methods into their chatbots. Feel free to check our articles on the use of chatbots in:
To learn more about companies offering sentiment analysis, check our data-driven list of sentiment analysis services.Further Reading
Do not hesitate to contact us if you have any questions:
For more in-depth knowledge on sentiment analysis, feel free to download our comprehensive whitepaper:Sources
Begüm is an Industry Analyst at AIMultiple. She holds a bachelor’s degree from Bogazici University and specializes in sentiment analysis, survey research, and content writing services.
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Microsoft Bing is adding new annotations to shopping search results, including active coupon codes for retailers’ websites.
Now there’s no fear of missing out on an opportunity to save money when shopping online. Bing will tell you right in the SERPs if there’s a coupon or promotion available.
In a blog post, Microsoft states:
“Ever wondered if you were overlooking coupons or special promotions when you shop online? Or perhaps you didn’t even consider that a discount might be available, and you missed out! Bing now provides you with this information within shopping searches – annotations neatly nested within your search results, without the need to install a browser extension or plugin (third-party cookies must be enabled.)”
Here’s an example of what the new coupon annotation looks like in Bing:
This feature is available across the US, UK, Canada, Australia, Germany, and France.Other Updates To Annotations Ethical Choice Annotation
In another update to annotations in shopping searches, Bing is expanding the ethical choice label to more regions.
Bing displays the ethical choice annotation to highlight eco-friendly, upcycled, or fair-trade fashion choices.
Microsoft provides more information in its blog post:Price History Annotation
Microsoft reminds searchers that it recently made the price history annotation available on Bing.
The price history annotation, as shown in the example below, allows you to determine if it’s a good time to buy a particular product.
In this example, the price is stable and slightly reduced from its highest price. That information lets you know you’re not paying more than you should for the product.
On the other hand, if the price is higher than usual and has a history of fluctuating, you may decide to hold off on purchasing.
When everyone can afford to save money, these updates from Bing are certainly a welcome addition to search results.
Featured Image: mangpor2004/Shutterstock
Reverse image search is important to discover images from different sources around the Internet. It helps you to file DMCA and find copyright issues. Many times, it is helpful in finding a business specific image or creating content. This facility can also be used to find images that are copyright protected. It may also help you find the origin of an image, graph, or even artwork.
Here are a few solutions that help you to perform reverse image search:
Method 1: Google Reverse Image Search How to Perform Reverse Google Image Search on Desktop Browsers
This method works when you have loaded Google image search in your browser.
Perform the following steps:
Step 2) This will display a new search offering two options for you. In the first option, you have to paste the image by URL.
The second option requires you to choose an image file.
Both options will display the same result as shown in the following screen:Google Reverse Image Search Using Chrome on Desktop/Android.
If you have Chrome, then you do not require to find the source of the image online. However, this method can be applied to the photos that are already uploaded and found while browsing online.Reverse image search in iPhone/iPad/ Android
You can also perform a search with the digital image from Google search result in iPhone/iPad/Android device.
You need to perform the following steps for that:
Step 1) Open Google Images main page.
Search for the digital image you want to use.
Step 2) Tap on the image and open it.
Step 3) Tap on image
to view the result.
Step 4) You will see similar images as shown in the following screen:Google Reverse Image Search Using Chrome on Android
Perform the following steps to reverse image search using Chrome on Android:
Step 1) Open Chrome browser and tap on
available at the top right corner of the screen.
Step 2) The following menu will be displayed.
Tap on “Desktop site.”
Step 3) Perform the same steps mentioned in the previous method.Method 2: Bing Visual Search How to do a Reverse Image Search on Desktop Browsers/iOS/Android
Bing Visual Search is an image-based searching site that is available to users across a variety of surfaces. You can use the image as your input and get good knowledge and actions.
It also enables you to search the web, shop online, and more through your photo you have captured. Bing Visual Search uses image and its attributes to display similar pictures.
Perform the following steps to reverse Google image search on desktop browsers:
Step 2) The following popup will be displayed, which has two options. In the first option, you have to drag and drop or browse images from your PC.
The second option requires you to paste the URL of the image.
Both options will display the same result as shown in the following screen:
If you want to perform a reverse image search in mobile device, then there are two choices.
1) Using Bing website
2) Using Android and iOS apps. You need to follow the same steps mentioned in the above method.Method 3: Third-Party Image Search Engines How to do a Reverse Google Image Search on Desktop Browsers /iOS/Android using TinEye
TinEye is a reverse search engine that enables you to submit the image and find out where it came from and how it is used. This website provides visually similar images, additional size of the same image, and more.
Perform the following steps to Reverse Google Image Search on desktop browsers /iOS/Android devices using TinEye:
Step 1) Open TinEye Images main page. It will give you two options. In the first option, you have to upload the image you want to search.
The second option requires you to paste the image URL.
Both options will display the same result as shown in the following screen:
If you want to perform a reverse image search in a mobile device, Android, or iOS device, then you need to perform the same steps mentioned above.How to do a Reverse Google Image Search on Desktop Browsers /iPhone/ Android using Yandex
Yandex is a reverse image search engine that provides visually similar images, additional size of the same image, and more. It offers a unique search facility that works on mobile devices from your web browser.
Perform the following steps to Reverse Google Image Search on desktop browsers using Yandex:
Step 1) Open Yandex main page.
It will give you two options. In the first option, you have to select the image you want to search.
The second option requires you to paste the URL of the image.
Both options will display the same result as shown in the following screen:
If you want to perform a reverse search in iOS mobile device, then you need to download the Yandex browser application into your phone. For the Android OS, you need to download Yandex application and perform the same steps.Method 4: Apps for Reverse Image Search on Android and iPhone CamFind
CamFind is an image recognition and visual search mobile application. It allows you to identify any item just by capturing photos from your mobile phone.
This app provides a wide range of information, including related images, price comparisons, web, and local shopping results. It is available free for both Android and iOS devices.Reversee
Reversee is a reverse image search app for iOS that allows you to find by photo. You can use this app to discover web pages with picture and social network profiles of someone. This application can be used inside other apps like Chrome, Safari, and any other programs that export URL or image.Eye Lens
Eye Lens is an extension that can be used to find related images from the Internet. This app makes it easy to find by images in Google, Yandex, and TinEye. The search result in this program includes similar images, websites that contain these pictures, and other size of the photo you have searched.How Does Reverse Image Search Work?
The reverse image search facility uses deep learning algorithm to find the photos. All the tools or search engine uses the similar AI algorithms to find the pictures. Once you find any photo, these apps show the result with a list of websites where similar images are available. Many applications also display the pictures with metadata like size and color.Applications of Reverse Image Search
Reverse image search has numerous different uses that can help you to perform powerful tasks.
Here are the applications of reverse image search:
Find similar images: It is helpful in finding a specific business image for creating content.
Discover people using your images: This is used when you have an eCommerce page to monitor your brand. It can also be used to find people who are using images you have used on your websites and blogs.
Find dimensions and metadata of any image: It is basically used to find the images which are copyright protected. Reverse search also helps you to file DMCA.
Checking spun content: This is applicable if a blog writer uses graphic images and writes content around it, and does not give credit to the author of the image. It helps to find such people on the Internet.
Finding image source to give credit: It is used when you want to give credit to a person using graphics or images. In case if you forgot when it came from, then reverse image search will give you a link to the source.
There is a bullish sentiment currently for some cryptocurrencies across the border blockchain industry, where Shiba Inu and Tradecurve have specifically managed to grab a lot of attention from investors and traders.
With their recent price performance, both altcoins have become appealing options, but which one can provide the most value in June of 2023? To figure this out, we will look at the recent price performance of both altcoins.Shiba Inu Showcases Bullish Sentiment
Shiba Inu has gained prominence as a result of the growing popularity of meme-themed cryptocurrencies. When the Shiba Inu cryptocurrency originally started out, it gained a significant level of attention by being a Dogecoin competitor that saw a large level of success, and since then has expanded its ecosystem with the introduction of Puppynet, a testnet blockchain and announced the upcoming launch of Shibarium, which is a Layer-2 network.
Its recent on-chain data suggests a bullish sentiment. Specifically, as of June 21, 2023, Shiba Inu is trading hands at $0.000007424 with a market cap of $4.3B which is a rise of 3.43% in the last 24 hours. Moreover, the trading volume for Shiba Inu has also increased by 20.06% in that same period, now sitting at $116,794,610. From a technical perspective, the Shiba Inu coin is also painting a bullish picture as both its moving averages and technical indicators are showing strong buy signals.
While it’s important to note that cryptocurrency investments carry risks, the current bullish sentiment around Shiba Inu indicates growing optimism among market participants.Tradecurve To Spike in Value Based on Analyst Prediction
Analysts are also seeing a bullish sentiment that has surfaced for the Tradecurve cryptocurrency, analysts are predicting that it can climb 100x at launch.
This can be attributed to the solutions it brings to some of the most notable and serious issues that are plaguing centralized exchanges today. From mandatory KYC requirements to high fees, lack of market options, and limited accessibility, Binance, Kraken, Coinbase, and others have had a difficult time appealing to investors who want anonymity and freedom.
Moreover, they have seen a significant level of pressure from the SEC, which has been attacking some CEXs with lawsuits.
Tradecurve, on the other hand, eliminates all of these KYC requirements and enables truly free, self-custodial, borderless access to not just crypto but derivatives trading to anyone on a global scale. Alongside solving these key issues, Tradecurve innovates by implementing new features that are rarely seen on competing exchanges.
Each user gains the ability to subscribe to automated trading bots that can execute trades quicker and more efficiently than a human is able to manually. They can analyze market conditions, monitor price movements, and execute trades based on predefined strategies.
TCRV is the utility token used for governance, for getting passive income through staking, and for getting discounts on subscriptions, such as the ones for the aforementioned trading bots. The token is currently at Stage 4 of its presale, trading at $0.018, and has been selling quickly. Based on this momentum, rapid growth is expected to occur for the cryptocurrency.Learn more about Tradecurve and TCRV at the links below:
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TransMedia, creator of the Glide cloud computing OS and suite of apps, will Wednesday announce the latest addition to its app set—Glide Engage, a micro-blogging tool with a lot of social media sharing functionality layered on.
Compared to the Twitter community, the Glide community is tiny. But Glide,TransMedia CEO Donald Leka tells me, now hosts just over a million users and is adding about 2,000 more every day. As with Twitter, as you begin posting messages, links, media, etc., some of those community members might find you “engaging” and then start following you. Of course you may begin to notice the same users posting stuff you like, and then begin following them. In short, using Engage feels a bit like using Twitter, but with a lot more control and functionality happenning in the background.
Engage also provides an impressive collaboration workspace, called Meeting, where you and your invitees can call up any type of file, view it, discuss it and make changes to it. During the demo today, Mr. Leka pulled up both a music and a video file, played them, then began both a text-based chat and a video/voice chat with me to discuss the media in real time.
As in the micro-blogging and discussion groups functions, you can set exacting permissions around who may do what with the files you share. Some users may only read the files, while others may be given permission to edit them, but only in a certain time frame, for instance.
The Austria of Cloud Computing
Glide’s OS- and device-agnostic approach really pays off in the new Engage app. For instance, if you share a QuickTime media file through Engage with a friend using a Windows Media mobile device, Engage automatically transcodes the QuickTime file into a Windows Media file that will display nicely on the mobile device. The reverse is true, too. Similarly, if you share a Microsoft Word doc with a Mac user via Engage, Engage will convert the file to an Open Office document that will work nicely on a Mac. It will also convert documents for use on an iPhone.
Glide also provides a syncing app that allows you to make your files in the cloud a constant mirror image of your files on your home, work or mobile PC. For instance, if you modify one of your “Glide” documents using your smartphone on the train ride home, your changes will be reflected in the version of the file on the Glide servers (i.e. “in the cloud”) and on the versions of that same file residing on your home and work computers. And it works even if your home computer is a Mac, your work computer is PC and your mobile device speaks Android, provided that all three have the syncing app installed.
About TransMedia, Glide
At any rate, Glide’s vision of a neutral, cloud-based OS and application suite that may be setting the benchmark by which other bigger cloud computing players may be measured (attention Google Wave Development Team). And from what I’ve seen so far it’s a high benchmark.
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