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Carmen® Cloud vs. General Sentiment (discontinued)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Carmen® Cloud

    N/AN/AANPR is a cloud-based plate recognition software with MMR and ADR, from Adaptive Recognition headquartered in Budapest, for recognizing and analyzing still images.N/A

    General Sentiment (discontinued)

    Score7 out of 10
    N/AGeneral Sentiment was a social media monitoring and analytics company providing social data to help brands make decisions based on content from sources including blogs, forums, Twitter, Facebook, television and radio broadcasting. The system used natural language processing and text analytics for sentiment analysis. It is no longer available.N/A
    Pricing
    Carmen® CloudGeneral Sentiment (discontinued)
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Carmen® CloudGeneral Sentiment (discontinued)
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    Carmen® CloudGeneral Sentiment (discontinued)
    Small Businesses
    No answers on this topic
    Mention
    Score9.4 out of 10
    Medium-sized Companies
    No answers on this topic
    Mention
    Score9.4 out of 10
    Enterprises
    No answers on this topic
    Social Suite by Reputation.com
    Score9.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Carmen® CloudGeneral Sentiment (discontinued)
    Likelihood to Recommend
    -
    (0 ratings)
    7.0
    (1 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Carmen® CloudGeneral Sentiment (discontinued)
    Likelihood to Recommend
    Adaptive Recognition
    No answers on this topic
    Discontinued Products
    Determine what your research question or customer relations needs are to pick a tool that is a good match.
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    Pros
    Adaptive Recognition
    No answers on this topic
    Discontinued Products
    • Using volume and association metrics to assess and predict trends and emerging topics
    • Use the articles metric to drill down into specific posts, such as tweets, Facebook, blog comments, news articles
    • General Sentiment has the ability to access password protected sites to access information that may not normally show up in standard internet searches
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    Cons
    Adaptive Recognition
    No answers on this topic
    Discontinued Products
    • The application does take time to start gathering data on a specific topic. As such, its important to include as many keyword search topics as possible, and also be sure to refine them as you gather data.
    • The user interface isn't particularly intuitive, there is some work that could be done to streamline its use.
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    Likelihood to Renew
    Adaptive Recognition
    No answers on this topic
    Discontinued Products
    Social media tools are constantly evolving. I would want to be sure that my research question was complimented by the metrics and options presented by the social media tool. General Sentiment is very useful and innovative and their customer service was excellent. Their sales and customer service team was very helpful in onboarding our staff and being flexible with our needs.
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    Return on Investment
    Adaptive Recognition
    No answers on this topic
    Discontinued Products
    • Social media analytics can accelerate the speed with which researchers can investigate a topic of interest, at a lower cost.
    • Due to the low barrier to entry (e.g., most social media sites and blogs are free), data collection burden, as traditionally defined, is significantly reduced or eliminated. The absence of direct interactions between researchers and the study population may do more to mitigate sources of bias compared to other more intrusive forms of data collection (i.e., interviews, focus groups).
    • Used to to gather unstructured data and feedback from Medicare beneficiaries, caregivers, advocates, and other stakeholders to identify systemic issues that beneficiaries encounter.
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