Businesses and researchers are increasingly turning to artificial intelligence (AI) solutions for sentiment analysis in order to obtain insights into client attitudes and feedback. Ten AI tools that are frequently used for sentiment analysis are listed below:
HubSpot’s Service Hub: HubSpot’s Service Hub products include a customer feedback component that makes it easier to analyze and understand qualitative survey responses. It analyzes the answers and determines whether they are favorable or negative by using NPS® surveys, which clarify the attitude of the customer’s review. The results are shown on an intuitive dashboard with graphs and charts that give a general idea of customer satisfaction.
Idiomatic: Idiomatic develops customer sentiment analysis models based on your particular business. Idiomatic’s sentiment labels are modified in accordance with the specific channels via which your clients contribute feedback.
There are numerous sentiment analysis models available in Idiomatic for every kind of data source (such as service requests and app reviews). As a result, you may more precisely track sentiments by channel.
Talk walker: Talkwalker’s “Quick Search” is a sentiment analysis tool that is a part of a larger customer service platform.
This tool functions best when used in conjunction with your social media channels because it can precisely determine how people feel about the social media accounts of your business.
Reputation: The platform pulls down consumer sentiment and analyzes comments using Natural Language Processing (NLP) to spot trends and problems in real-time.
Repustate: Accurate sentiment analysis of customer answers is possible thanks to Repustate’s sophisticated text-analysis API.
Slang phrases like smh, hahaha, and rofl are recognized by its software. It also analyzes emojis to determine the significance of a message.
Brand24: Brand24 is a media monitoring tool that automatically assesses opinions on your brand or any other topic pertaining to business.
It compiles references from the public domain on the Internet, including those from news sites, social media, blogs, forums, websites, user reviews, videos, podcasts, and other sources.
In order to ascertain the attitude that each word in the text conveys, Brand24 uses advanced machine learning algorithms and natural language processing (NLP) techniques to analyze the material in real-time.
MeltWater: Meltwater uses advanced natural language processing (NLP) algorithms to evaluate the sentiment expressed in articles, social media communications, and other online information.
The Meltwater package offers lexicon-based analysis, contextual understanding, text processing, scoring and weighting, aggregation and summarization, and comprehensive sentiment analysis.
LexaLytics: Lexalytics is a text-analysis tool that explains why a customer is responding to your business in a specific manner.
It uses natural language processing to parse the text and then does a sentiment analysis to determine the intended message from the consumer.
Finally, by compiling the data it pulls into a readable and distributable presentation, Lexalytics wraps off the process.
Sentisum: SentiSum allows you to centralize all of your voice of the customer insights and distribute them to various teams inside the company.
In order to deliver accurate insights into customer sentiment, SentiSum’s sophisticated artificial intelligence (AI) automatically learns how your customers express themselves. It also connects with leading support platforms, such as Zendesk, Dixa, Hubspot, and Intercom.
Important reference: Not to be confused with the other tools on this list, Critical Mention looks at news stories and other publications that reference your business. This is one way to see the sentiment behind stories that are making their public debut very rapidly.
