Top 10 AI Tools for Analyzing Sentiment

Explore these top 10 artificial intelligence tools for Analyzing Sentiment

Analyzing sentiment using AI tools has become increasingly popular for businesses and researchers to gain insights into customer opinions and feedback. Here are 10 AI tools that are commonly used for sentiment analysis:

HubSpot's Service Hub:

A customer feedback component in HubSpot's Service Hub products facilitates the analysis and comprehension of qualitative survey responses. Through the use of NPS® surveys, which elucidate the sentiment of the customer's review, it breaks down the responses and determines whether they are positive or negative. The findings are shown on an easy-to-use dashboard that includes graphs and charts that provide a broad picture of consumer satisfaction.

Idiomatic:

Based on your unique business, Idiomatic creates models for consumer sentiment analysis. Sentiment labels from Idiomatic are adjusted based on the particular channels where your customers provide input.

Idiomatic includes many sentiment analysis models for each type of data source (app reviews, service requests, etc.). You can therefore follow sentiments by channel with more accuracy.

Talk walker:

"Quick Search" from Talkwalker is a sentiment analysis tool that is a component of a broader customer support platform.

Because it can tell exactly how people feel about your company's social media accounts, this tool works best when used in conjunction with your social media channels.

Reputation:

The Reputation platform, which uses Natural Language Processing (NLP) to identify trends and issues in real-time, breaks down customer sentiment and analyses comments.

Repustate:

Repustate's advanced text-analysis API provides precise sentiment analysis of client responses.

Its software can recognize slang terms like smh, hahaha, and rofl. Additionally, it evaluates emojis to ascertain the meaning of a message.

Brand24:

Brand24 is a media monitoring tool that analyzes sentiment automatically about your brand or any other business-related topic.

It gathers mentions from the Internet that are accessible to the general public, such as those from social media, blogs, forums, websites, news sites, user reviews, videos, podcasts, and other sources.

Brand24 analyzes the content in real-time using sophisticated machine learning algorithms and natural language processing (NLP) techniques to determine the sentiment that each word in the text indicates.

MeltWater:

Meltwater's sentiment analysis assesses the sentiment conveyed in articles, social media messages, and other online content by using sophisticated natural language processing (NLP) algorithms.

Comprehensive sentiment analysis is provided by the Meltwater suite, which also includes text processing, contextual understanding, lexicon-based analysis, scoring and weighting, and aggregation and summarization.

LexaLytics:

A text-analysis tool that explains why a consumer is reacting to your business in a particular way is provided by Lexalytics.

After parsing the text using natural language processing, it does a sentiment analysis to ascertain the customer's intended message.

Ultimately, Lexalytics brings the process to a close by assembling the data it extracts into a readable and distributable display.

Sentisum:

You can centralize all of your voice of customer insights with SentiSum and share them with other teams inside the organization.

SentiSum's intelligent artificial intelligence (AI) automatically learns how your customers express themselves and integrates with top support platforms like Zendesk, Dixa, Hubspot, and Intercom to provide precise insights into customer sentiment.

Critical Mention:

Unlike the other tools on this list, Critical Mention examines news articles and other publications that make mention of your company. In this manner, the sentiment underlying articles that are quickly making their public debut can be seen.