DAIN and DIANA - The Story Of Our Lives

Sentiment is very important and different providers will have different benefits and limitations. Here is a list of all the ones I found. If you know ones not here or know the benefits or limitations let me know. I am going to try and integrate with as many as possible. Here is my list: Watson Sentiment Analysis cloud.google.com Cloud Natural Language API theysay.io text-processing.com paralleldots ai api deepai.org meaningcloud.com qemotion aylien api PreCeive API MoodPatron API Indico API sentaero.com textrazor.com text-processing.com Microsoft Text analytics API Lexalytics API - lexalytics.com Datumbox sensq.com twinword text2data.com Sentiment140.com semanticengines.com github.com/solso wililed sentiment api (nuget) einstein.ai nexmo.com Look forward to hearing from you.

For those fans of Dungeons and Dragons you will understand this concept. For those not familiar this article discusses Brain in a Jar .  The key concept here is based on this: The Brain in a Jar uses mainly psionic abilities to do what its lack of moving parts would otherwise prevent: move itself, manipulate objects and the environment, and ward off attackers. Its main attack is Mind Thrust, an assault upon the mind of another creature. In addition to this, it can also drive mad anyone who magically or psionically detects it, and it can control and rebuke other undead. Now let's look at this in the context of DAIN and DIANA or in this article I will just say DAIN for simplicity.  Think of DainJar as the outer layer that contains the executive suite which is responsible for making the brain perform core brain functions such as waking up, sleeping, napping and thinking. The executive suite also connects to the body but not the body as you know it. DAIN is all electronic so i...

Although you may think this is an easy lookup it is not. For a first attempt you could do that and some simple sentences could work but if someone said "That dumbbell was as heavy as lead" then lead is a noun but if someone said "He lead the parade through town" then lead is an action, a verb. This is where context comes in and you need to establish rules on when lead is a noun and when it is a verb. If you look at our model you will notice that we do have context and we do have rules. The context is used during training and the rules are used to determine which Word is the right match. During training, you can play with different sentences and establish patterns on what works and what doesn't and create additional rules to resolve these conflicts. Tagging parts of speech is a nested for loop. For each sentence and for each word. Look up the word in the dictionary and if listed once then check the rules and if there is a match then use it. If there is more t...

Now that we have sentences we need to break it into words. This phase is called "Tokenize". Tokenize: This is the process of taking each sentence and separating it into "words" or tokens. For a basic provider you can do a split into words. These functions can be found in the CSHARP.Text repository but I have placed them here as well.          /// <summary>         /// Splits a string into its words for manipulation         /// </summary>         /// <param name="toSplit">String to split into words</param>         /// <returns></returns>         /// <remarks>Uses default values to split words</remarks>         public List<string> SplitStringIntoWords(string toSplit)         {             return SplitStringIntoWords(...

We learned from the article on Natural Language Processors that there are multiple stages to building your processor. The first step is Splitting. This is the process of taking the text and separating it into Sentences. Adding the splitting functionality to your processor can be as simple as using this or some variation of it: Regex.Split(toSplit, @"(?<=[\.!\?])\s+").ToList(); This works fine for most sentences but depending on the source of your text or the language you may need to adjust this. For the basic provider included in ByoNlpQuickStart we simply use this. DAIN and DIANA use a couple providers depending on the source, language and other criteria. I created a rules-based provider that uses JSON rules to determine which one to load and use for a given scenario. Sometimes it will run 2 providers and then compare the results as a quality control. If you are interested in learning more about building your own then reach out and let's discu...

In our case we will be building our processor to be compatible with the NlpQuickStart so that will affect how our provider's external interface works but we still have the flexibility to do our own thing internally and then expose the results in a manner consistent with other providers. The base model for DAIN/DIANA have 2 elements: Words: Everyone knows what these are so I don't really have to explain them. Grammar Blocks: A grammar block is a segment of words that take on a given meaning.  For example "Lord Of The Rings" would be a grammar block. Basic NLPs break sentences into words and then use these words to build out the processing. Some look for an action word and then build upon that.  However the flaw in this is that sometimes the noun is a series of words or an action is a series of words. A grammar block allows you to relate the words to a possible grammar block that contains rules on when that block applies. You can later apply actions based on a g...

The first question to ask yourself is why do I want to build my own when there are so many others out there. There are a few reasons why: Domain Knowledge Bias: A lot of the ones available are built on global shared models and as everyone uses the models it learns the things that they are training it on. For your specific domain you may want to use your own model.  Some providers may allow you to swap out the model in which case you can simply build your own model rather than a full provider. Language or Culture Bias: Sometime a model does not support your language and you cannot swap out the model or it does support your language but some of cultural nuances are not handled. If it is related to the model then you can simply swap it out but if it is part of the algorithm you cannot. Algorithm Failure for given scenarios or you need to inject additional rules to provide context and the processor does not allow for it. Cost: Using your own means you can host it wherever and co...