Caffe Deep Learning Framework vs. InMoment Text Analytics

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

If you are a basic license user, semantria does well and presents analysis quickly. After the analysis, it creates multiple tabs with different views of the data and some visualizations and graph analysis also. The graph analysis and node connector graph is very useful. Their algorithm is very strong and it gives correct sentiment score even for neutral statements. I didnt get to use the API version of semantria so have no comments about that. Upon reading online about it, i found that the integration takes a while .

Incentivized

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

Incentivized

• It offers some of the strongest integration options, including Java, PHP, Python, and .NET/C# bindings.
• Provides full access to fine-tune every NLP and text analytics feature.
• Linguistic categorization.
• It can process more than 200 tweets per second while scaling from single process cores to entire data centers.

Incentivized

• 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

• It is an excellent platform for small and medium businesses but it is really expensive.
• Does not offer plugins with WordPress.

Incentivized

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

Lexalytics is a Microsoft Excel text and sentiment analysis plugin for surveys and social media. With Lexalytics, I can log into my SurveyMonkey account directly in Excel and import data for analysis. I can also choose which columns of data to import so that it only parses what I want.

Incentivized

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

Incentivized

• Saves lot time as it also gives the sentiments of our products from a pile of data
• Tells us about the geographic locations where our product has a best future
• Tells us about the customers experience vs what we have delivered.

Incentivized