Sentiment analysis is the process of analyzing text (documents, news articles, social media conversations, emails, etc.) to evaluate the polarity of opinions (positive, negative or neutral sentiment). With the use of AI and machine learning software, you can automatically mine text data for customer opinions that would otherwise take whole teams and countless hours to dissect.
You can try out this sentiment analysis online demo to see how it works.
Companies use sentiment analysis to analyze product reviews and social mentions, understand overall brand sentiment, and efficiently prioritize and resolve customer service tickets. For example, you can crawl Twitter for thousands of your company’s mentions, and categorize them, all in a matter of minutes.
With the proper software, sentiment analysis can even read for things like sarcasm:
“The new software package set-up was seamless and the UX is amazing!”
“I’ve been on chat support for two hours and gotten nowhere. Amazing. Thanks for the help!”
A properly trained analysis model will read the second example as negative, even though both examples use language that, out of context, a machine would tag as positive.
There are a number of sentiment analysis softwares you can use to gain insights into the public’s view of your company. Save hundreds of employee hours using technology to your advantage, and don’t miss out on all that free data.
Read along to find the right text analysis software for your company. Do you need something entirely user-friendly, that requires no computer science background? Do you need something with APIs that you can plug into your existing tools?
MonkeyLearn offers sentiment analysis software with deep machine learning for high-level results. With the use of advanced natural language processing (NLP), MonkeyLearn’s tools can analyze your data consistently and accurately.
You can use pre-trained models or customize your own, and easily integrate them with applications, like Excel, Google Sheets, Zapier, Zendesk, and more. APIs are offered in all major programming languages and don’t require huge levels of programming ability. You can even train your own text analysis model with no coding experience, whatsoever.
Automated analysis works in real-time, 24/7 and can pull from any source to almost completely do away with manual processing of customer service tickets, chats, surveys, reviews, and more.
Try it out for free to see how it works. The more you train your model, the more accurate it will become at detecting intents, emotions, irony, etc.
MeaningCloud’s advanced SDKs and plug-ins provide a template that can be tweaked for hyper-specialized analysis, though their software demands some programming knowledge. You can create custom dictionaries or merge with personal resources (dictionaries, taxonomies, sentiment models, etc.).
Pull content from several sources and embed their software in applications you already use, like Excel. Their API analyzes individual phrases, then evaluates how phrases relate to each other to assign a “global polarity value” to the entire text.
RapidMiner presents a holistic data approach that couples text analysis with traditional data analytics to provide predictive models that can drive brands into wholly new directions.
Their Turbo Prep software pulls and prepares text data for sentiment analysis, carefully evaluating it for quality and soundness. Once data is prepped, RapidMiner Studio uses machine learning to create predictive models, or you can export to external apps.
RapidMiner’s Auto Model can guide you through data prep, with simple point and click predictive modeling. You can automatically analyze data to remove common quality problems and use built-in models for an easy user experience.
Repustate offers text analytics in 24 languages. Their program breaks text down with part-of-speech tagging, lemmatization, and prior polarity, (among others) to categorize and manage emotion from many different angles.
Repustate’s software displays advanced comprehension of emojis, chat acronyms (lol, smh, etc.), and common slang. Their APIs are highly customizable, so you can add new meanings for words or program for highly specific uses.
You can easily integrate their software with existing systems, though it requires a relatively high level of coding. And you can self-host a Repustate server, for an extra level of security.
Lexalytics is for businesses that want to process huge amounts of text (30,000+ documents a month) and have a deep understanding of computer science needed to program highly-tuned analytical models.
Their principal software, Salience, runs on Windows and Linux servers behind your firewall, or on your private cloud and offers native compliance with most data security and privacy regulations.
Salience aims to uncover patterns that go beyond explaining how customers feel to delve into why they feel how they do. Salience smoothly integrates with other applications, and their easy-to-understand visual display is helpful to get a comprehensive view of your data and projections.
Although some coding is required, AYLIEN’s three APIs, available in seven major programming languages, allow for a relatively easy set-up.
AYLIEN’s News API indexes and analyzes thousands of news sources daily, so you can be confident the news you need is available. Users can search and analyze worldwide content in real time.
Their premade Text Analysis API can evaluate the sentiment score on nearly any document or online review for quick results and minimal setup.
For more targeted, in-depth results you can build custom text analysis models with AYLIEN’s Text Analysis Platform (TAP) and use it right in your browser.
Clarabridge aims to manage the entire customer experience by analyzing customer engagement, customer effort, and customer emotion to ascertain how clients feel about every aspect of a business.
Their 11-point scale calculates sentiment using language rules, context, industry, and text origin.
Clarabridge can analyze a customer’s emails, chats, and surveys to measure overall customer state-of-mind.
If your business handles a high volume of phone calls, Clarabridge is also at the forefront of speech analytics. Their software can help manage call centers for speed and efficiency, going beyond word analysis for tone of voice and other subtle quirks in speech.
Sentiment analysis software can be hugely beneficial to almost any business to improve efficiency, save employee hours, target customers, and find out exactly how the public feels about your brand. It’s definitely worth trying out some of the software options, to see what it can do for you.
The above provides a pretty thorough overview of the kinds of software available on the market. It all depends on what’s best for your needs.
Data mining and data analysis can help your company grow in ways you may have never imagined.
If you’d like to try sentiment analysis, request a demo for MonkeyLearn and get started right now. You can try the pre-trained models or train your own sentiment analyzer in, literally, just a few minutes.
April 9th, 2020