Best On-Premise Sentiment Analysis Tools of 2024

Find and compare the best On-Premise Sentiment Analysis tools in 2024

Use the comparison tool below to compare the top On-Premise Sentiment Analysis tools on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Speechmatics Reviews

    Speechmatics

    Speechmatics

    $0 per month
    21 Ratings
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    Speechmatics is the most accurate and inclusive speech-to-text API ever released. Speechmatics is the world’s leading expert in Speech Intelligence, combining the latest breakthroughs in AI and ML to unlock the business value in human speech. Businesses use Speechmatics worldwide to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect, or location in real-time and on recorded media. Combining these transcripts with the latest AI-driven speech capabilities, businesses build products that utilize summarization, topic detection, sentiment analysis, translation, and more. How is Speechmatics different? * The most accurate speech recognition on the market * 50 languages with vast accent and dialect coverage * Cloud-based or on-premises deployment options for data security * Real-time transcription with low latency and high accuracy * Real-time translation with 69 language pairs * Speech Understanding features such as Summaries, Sentiment, Topic Detection, Chapters, Audio Events * Fast and secure transcriptions for pre-recorded audio * Automatic translation and language identification * A culture of R&D in deep learning and speech recognition
  • 2
    Smartz Solutions Reviews

    Smartz Solutions

    Smartz Solutions

    $55.00/month/user
    1 Rating
    Smartz Solutions is a disruptor that is reshaping contact center landscape. The traditional legacy systems have been holding businesses hostage too long with their complex infrastructures and high fees. Contact centers are tired from being burdened with disjointed, expensive systems that have a negative impact on customer and employee experience. Our AI-powered 360° experience platform is redefining contact centre experiences. We've been there. We paid for legacy systems. We had 15 systems running simultaneously (at snail's speed) to be able run our call center. We understand the frustration of not being able (sometimes even) to find data to help customers. We know how frustrating it is to have employee data scattered across multiple systems, never allowing a clear picture of the business. You don't have run your call center by losing money, opportunities, and patience. With a comprehensive tech stack you can finally have your entire customer base.
  • 3
    MeaningCloud Reviews

    MeaningCloud

    MeaningCloud

    $99 per month
    MeaningCloud is the easiest, most cost-effective, and most cost-effective way to extract meaning from unstructured content (articles, documents, social conversations, etc.). We offer text analytics products that provide the most accurate insights possible from any content in any language. We do it both SaaS-based and on-prem. We have worked in a variety of industries, including pharma, finance, media and retail. We develop tailored and industry-specific solutions. Our scenarios include: * Insight extraction * Analysis of the voice and opinions of the customer, employee or citizen. (User experience analytics and customer experience analytics in general. * Intelligent document automation Our APIs are free to use (20,000 API calls per year). Get our add-ins for Excel or Google sheets. Our integrations with Dataiku RapidMiner, Automation Anywhere, and Automation Anywhere as well as our SDKs (PHP, Python, Java and JavaScript) are available.
  • 4
    Azure Text Analytics Reviews
    Natural language processing (NLP), which is a natural way to extract insights from unstructured text, is a great way to gain insight. To understand common topics and trends, identify key phrases and entities, such as people, places, or organizations. Pretrained models that are domain-specific can be used to classify medical terminology. Sentiment analysis allows you to gain a deeper understanding of customer opinions. You can evaluate text in many languages. Broad entity extraction Identify key concepts in text, including key words and named entities, such as people, places and organizations. Sentiment analysis that is powerful: Find out what customers think about your brand and how sentiment is around certain topics. Robust language detection: Assess text input in a variety of languages. Flexible deployment: Text Analytics can be run anywhere: on-premises, in the cloud, or at the edge with containers.
  • 5
    Komprehend Reviews

    Komprehend

    Komprehend

    $79 per month
    Komprehend AI APIs provide the most complete set of document classification and NLP programming APIs for software developers. Our NLP models have been trained on more than a million documents and provide state of the art accuracy for most NLP use cases, such as sentiment analysis or emotion detection. Get our Text Analysis API free demo. It provides useful insights from textual data and maintains high accuracy in real life. It can work with a variety data types, from healthcare to finance. Private cloud deployments via Docker containers and on-premise deployments are supported. This prevents data leakage. Your data is protected and the GDPR compliance guidelines are followed to the letter. Monitor online conversations to understand the social sentiment surrounding your brand, product, and service. Sentiment analysis, also known as contextual mining of text, is a method that extracts and identifies subjective information from the source material.
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