InMoment Text Analytics vs. RapidMiner

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

RapidMiner is the best tool to build models on textual data. It is rich in ML algorithms and reduces the need to manually tune the parameters. It automatically optimizes them, thus providing a better solution. RapidMiner again extends great capability for data preparation, its insane connections to almost every data source pulls in the data easily into one environment. And it can comfortably perform data cleaning and process tasks over that. RapidMiner is not so good with image, audio or video data. These data points cannot be used directly in their raw form. They must be transformed into some intermediate form for performing analytics over it. Moreover, there are no connectors to directly pull data from their varied sources. For example, we don't have a connector to read audio data directly from a switch and then convert it to text (although Google speech API is available for audio to text conversion.)

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

• RapidMiner Studio offers a superb user interface with an intuitive workflow paradigm that is very easy to learn.
• RapidMiner Studio’s operators make it a complete and powerful tool for data preprocessing, data visualization, and data mining/analytics.
• RapidMiner Studio provides excellent documentation, countless worked examples, training and support via a large user community.
• Every problem is solved using a sequence of operators.
• Statistical analysis capabilities offered with the T-Test, ANOVA, Grouped ANOVA, and ANOVA Matrix operators.
• Textual data mining operators.
• Web-based and cloud computing capabilities.
• Visualization capabilities.
• Marketplace Extensions – especially Finance And Economics.
• Process portability.

Incentivized

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

Incentivized

• Wish the tool was more efficient in terms of processing power. The tool takes a lot of CPU processing power, even for a small process on a small data set
• Wish there were more options on charts and graphs to visualize the data

Incentivized

Very fast and user-friendly tool

Incentivized

Very use to use and learn

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

The other product like RapidMiner Studio that I have used is WEKA. I decided to use RapidMiner because almost all modelling methods and feature selection methods from the Weka machine learning library are available within RapidMiner. Furthermore, RapidMiner Studio is a visual workflow and therefore it is easier to demonstrate and visualise the processes involves in getting the desired results. Visualization of workflow enhances teaching and learning. RapidMiner is rich with algorithms and online learning materials that can assist students in their self-directed learning on data preparation, machine learning, deep learning, text mining, and predictive analytics. Moreover, RapidMiner repository has more than 1500 machine learning algorithms and functions that students can explore for any case study and assignments. The RapidMIner is also an open platform that can seamlessly integrates with other applications programmed with other programming languages like R and Python.

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

• We saved over $100k on our direct mail program by not mailing to those unlikely to respond to our mailings based on our predictive analysis.
• Our CX team has saved countless hours by automating call scripts to isolate key phrases and code each call.

Incentivized