Sentiment analysis companies, products & suppliers
Classifying emotion or polarity in text/voice as a capability product, not VoC programmes or contact-centre suites. Jobs: ticket sentiment; chat polarity; aspect sentiment.
What is Sentiment analysis?
Classifying emotion or polarity in text/voice as a capability product, not VoC programmes or contact-centre suites. Jobs: ticket sentiment; chat polarity; aspect sentiment.
What problems does it solve?
Teams still eyeball a sample of tickets to guess mood.
Typical business use cases
- Ticket sentiment
- Chat polarity
- Aspect sentiment
Important capabilities
- Taxonomy
- Language coverage
- APIs
What buyers should evaluate
- Method
- Language
- Whether scores feed HR or routing
Risks and governance considerations
Sentiment used as a performance score for agents.
Procurement checklist
- Method
- Use policy
- Languages
Relevant AI Trustmark assurance
AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.
Products and providers
Open a product profile for its catalogue details, or use the provider link for the company profile. Claimed listings appear first, then by name. Payment never changes the order.
Amazon Comprehend is an AWS natural language processing service that uses machine learning to extract insights from unstructured text. It identifies entities, key phrases, language
By Brandwatch
Brandwatch Consumer Research turns data from over 100 million online sources into insights for enterprise research teams. It provides an archive of posts back to 2008 plus hundreds
By Chattermill
Chattermill is the AI-native Customer Intelligence & Voice of Customer platform that unifies siloed feedback and surfaces insights your teams and AI agents can act on. Chattermill
By Cloudmersive
Cloudmersive Sentiment Analysis API is Cloudmersive's model API, from Cloudmersive, LLC. Published at api.cloudmersive.com/docs/nlp.asp. Directory filing: Sentiment analysis. Vendo
By Google
Cloud Natural Language API is a Google Cloud service that applies pre-trained machine learning models to text so developers can add natural language understanding to their applicat
By Komprehend
Komprehend Sentiment Analysis API is Komprehend's model API, from Komprehend, Inc. Published at komprehend.io/sentiment-analysis. Directory filing: Sentiment analysis. Vendor legal
By Microsoft
Azure Language in Foundry Tools is Microsoft's cloud natural language processing service. It provides features such as sentiment analysis, entity and key phrase extraction, PII det
By NLP Cloud
NLP Cloud Sentiment Analysis API is NLP Cloud's model API, from Alpine Connection LLC. Published at nlpcloud.com. Directory filing: Sentiment analysis. Vendor legal name on this pr
By Qualtrics
Simulate customer and employee experiences before they happen, predict what comes next, and take intelligent action that drives better outcomes. Qualtrics XM Discover is Qualtrics'
By Symanto
KG. Symanto Insights Platform is Symanto's software product, from Symanto Research GmbH & Co. KG. Published at help.symanto.com/knowledge/about-platform. Directory filing: Sentimen
By Twinword
Keyword tool for SEO and content marketing that groups keywords by user intent, popular topics or patterns. Get the best keywords for your content or website. Twinword Sentiment An
By Zendesk
Move beyond deflection with AI agents that resolve issues from start to finish. Improve service quality, speed and scale. Start your free trial. Zendesk Intelligent Triage is Zende
Products
Claimed products appear first. Ranking packs and payment do not change this list.
- Amazon Comprehend· Amazon Web Services
- Azure AI Language· Microsoft
- Brandwatch Consumer Research· Brandwatch
- Cloud Natural Language API· Google
- Cloudmersive Sentiment Analysis API· Cloudmersive
- Komprehend Sentiment Analysis API· Komprehend
- NLP Cloud Sentiment Analysis API· NLP Cloud
- Qualtrics XM Discover· Qualtrics
- Symanto Insights Platform· Symanto
- Twinword Sentiment Analysis API· Twinword
Also used in this category
These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.
- Brandwatch Listen· Brandwatch
- Chattermill· Chattermill
- Zendesk Intelligent Triage· Zendesk
Related categories
Relevant procurement and assurance guides
Frequently asked questions
What is Sentiment analysis?
Classifying emotion or polarity in text/voice as a capability product, not VoC programmes or contact-centre suites. Jobs: ticket sentiment; chat polarity; aspect sentiment.
What should not be listed as Sentiment analysis?
Products whose buyer job is voice of customer programmes, contact-centre AI, or content moderation. Those belong on their own category page so search queries are not split.
Has AI Trustmark independently assessed every Sentiment analysis supplier?
No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.
What model or provider changes should a buyer insist on being told about?
Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.
How should buyers verify where AI customer data is processed?
Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.
Does a TrustMark on one product cover the rest of the company?
No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.
What incident-handling evidence is useful for AI suppliers?
Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.
What security testing evidence should buyers request for an AI product?
Ask what was tested, against which version, whether prompt-injection, data-exfiltration and tenant isolation were in scope, and where failed prompts were stored. A generic ISO certificate or a vendor scanner screenshot is not by itself an AI TrustMark assessment.