Create Sentiment Analysis Software powered by AI

Enhance decision-making and customer satisfaction through AI sentiment analysis, empowering businesses to extract valuable insights from vast amounts of textual data

What is AI sentiment analysis?

Sentiment analysis involves examining digital text to figure out if the emotions conveyed are positive, negative, or neutral. Nowadays, businesses deal with loads of text data from sources like emails, customer chats, social media, and reviews. Sentiment analysis tools help scan this text to detect the author’s feelings about a subject automatically. Companies leverage these insights to enhance customer service and boost their brand image.

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What are the benefits of using AI Machine Translation?

Sentiment analysis, also known as opinion mining, is crucial for businesses seeking to enhance their offerings and customer satisfaction. Here’s why:

Analyze vast amounts of data

Businesses sift through vast amounts of unstructured data from sources like emails, chat transcripts, and surveys. Cloud-based sentiment analysis tools enable them to efficiently uncover customer emotions from this textual data on a large scale, without breaking the bank.

Objective insights

AI-driven sentiment analysis tools offer unbiased assessments, avoiding the personal biases that human reviewers might introduce. This ensures consistent and objective results, even when analyzing complex customer opinions.

For instance, in the sentence “I’m amazed by the speed of the processor but disappointed that it heats up quickly,” sentiment analysis tools objectively detect both positive and negative sentiments, providing marketers with a comprehensive view.

Real-Time Monitoring

In today’s fast-paced environment, businesses need to stay responsive to market trends and potential crises. Sentiment analysis software provides real-time insights into how customers perceive their brand, enabling quick reactions to emerging issues or opportunities. By setting up alerts for specific keywords associated with negative sentiments, companies can proactively address concerns as they arise.

Product and Service Improvement:

By identifying specific areas of customer dissatisfaction, sentiment analysis helps companies prioritize product and service enhancements. For instance, if the analysis reveals negative sentiments associated with a product feature like overheating, engineers can focus on improving that aspect, leading to better overall customer satisfaction.

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What are some use cases of AI Machine Translation across industries?

Here are some instances where sentiment analysis can be useful:

Enhancing Product Offerings

A sentiment analysis system helps businesses understand what aspects of their products are popular and which ones need improvement. Marketers study feedback from online reviews, surveys, and social media to gain insights into specific product features. They then share these insights with product engineers, who make necessary adjustments.

Tracking Campaign Effectiveness

Marketers use sentiment analysis tools to gauge the success of their advertising campaigns. By monitoring conversations on social media platforms, they ensure that the overall sentiment is positive. If sentiment falls short of expectations, marketers make real-time adjustments to the campaign based on data analytics.

Monitoring Brand Reputation

Organizations keep a close eye on mentions and discussions about their brands across various digital platforms. Sentiment analysis technologies enable public relations teams to stay informed about ongoing narratives. By understanding the prevailing mood, they can address complaints or capitalize on positive trends.

Improving Customer Service

Customer support teams utilize sentiment analysis tools to tailor responses according to the customer’s mood. AI-powered chatbots equipped with sentiment analysis capabilities detect urgent matters and escalate them to support personnel for prompt resolution.

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Why choose Xamun?

Build customer- or external-facing Web, iOS, and/or Android apps the way you want it built - fast, at fixed price, and you get to keep the source code!

Fully-Custom Software BUT Built Incredibly Fast

With the speed at which your competition (including startups) are innovating, you need to get software built at lightning speeds. Xamun got you covere by letting you build from prototype to working software in as fast as A FEW HOURS!

Fast like No-Code BUT You Keep the Source Code

With Xamun, you own the resulting source code. What does this mean? Your team has the freedom to update your custom software whichever way you want. Also, owning the source code lets you retain your competitive advantage because the IP is all yours.

Tailored to Your Needs BUT Pay Fixed Price

Outsourcing custom software development is oftentimes limited to time-and-material contracts which may not work well with your existing budget management processes. With Xamun, we accommodate a fixed price project engagement for every version of your custom software.

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Frequently Asked Questions

1. Why build custom AI sentiment analysis software?

Building custom software with sentiment analysis features allows businesses to tailor the analysis to their specific needs and integrate it seamlessly into their existing systems.

2. What exactly does sentiment analysis technology do?

Sentiment analysis examines digital text to determine whether the emotions expressed are positive, negative, or neutral, providing insights into customer opinions and reactions.

3. What solutions can be built with AI sentiment analysis features?

Solutions leveraging sentiment analysis features can include personalized customer support responses, real-time campaign monitoring, brand reputation management, and product improvement strategies.

4. Is building custom software with AI sentiment analysis capability worth it?

Yes, building custom software with sentiment analysis capabilities is worth it as it enables businesses to gain unique insights, enhance decision-making, and improve customer satisfaction tailored to their specific requirements.

5. How much will it cost to build a software with AI sentiment analysis t echnology?

It depends on what exactly it i what your want to build. Xamun has a cost estimator and other internal tools that will give you a much more accurate idea of how much it will cost you to build your custom insurance software.

6. How long will it take to build a software with AI sentiment analysis technology?

If you have an existing Figma prototoype, building and deploying a bespoke solution with AI machine translation services with Xamun can take as fast as a few hours. If you’re coming in with a fresh idea, it can take only 4-6 weeks!

7. Do I need technical know-how to get a custom AI sentiment analysis technology built with Xamun?

Not at all! As a service will take care of all the technical stuff, and you just need to make sure all your business processes are covered in what we will build for you. At some point, we will release a DIY platform and in that case, your own tech team can directly build your bespoke solution on their own.

8. Are there hidden fees?

Absolutely not! We will be very upfront on the total cost of build as soon as you sign off the Figma design for your custom insurance software which will also include a detailed scope of how the app would work. Unless you have additional features to build, that’s the final cost.

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Xamun revolutionises software development with AI, unlocking innovations that have been long shelved or even forgotten. It empowers product owners, and startup founders to bridge the gap between business and software engineering to create top-notch cloud software within weeks.

​Xamun mitigates development risks, providing cost savings versus full-code outsourcing. It’s a potent no-code/low-code alternative, offering rapid customization and full source code ownership, free from recurring subscription fees.