Caffe Deep Learning Framework vs. General Sentiment (discontinued)

Caffe is only appropriate for some new beginners who don't want to write any lines of code, just want to use existing models for image recognition, or have some taste of the so-called Deep Learning.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Determine what your research question or customer relations needs are to pick a tool that is a good match.

• Caffe is good for traditional image-based CNN as this was its original purpose.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• 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

• Caffe's model definition - static configuration files are really painful. Maintaining big configuration files with so many parameters and details of many layers can be a really challenging task.
• Besides imagine and vision (CNN), Caffe also gradually adds some other NN architecture support. It doesn't play well in a recurrent domain, so we have to say variety is a problem.
• Caffe's deployment for production is not easy. The community support and project development all mean it is almost fading out of the market.
• The learning curve is quite steep. Although TensorFlow's is not easy to master either, the reward for Caffe is much less than the TensorFlow can offer.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• 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.

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.

TensorFlow is kind of low-level API most suited for those developers who like to control the details, while Keras provides some kind of high-level API for those users who want to boost their project or experiment by reusing most of the existing architecture or models and the accumulated best practice. However, Caffe isn't like either of them so the position for the user is kind of embarrassing.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Since we stopped using Caffe before it can reach the production phase, there is no clear ROI that can be defined.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• 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.