With the easy adaptability and availability of the opensource AI frameworks like Keras, organizations from all the fields are taking advantage of this emerging technology and trying to pose innovations in individual domains.
Language is a source of expression used by humans to represent their emotions and moods. Specifically, written text is a sign of personal experience.
However, it is not a straightforward task to determine the sentiment of the person using words to express his feelings, because words and language can be deceiving. Emotions like taunt and sarcasm literally mean the opposite of what is expressed in words. For eg, when a teacher says “Very good! Keep it up” when a student gives a wrong answer, just to taunt him.
Or when a customer review’s the best pizza he ever had by writing statutory warning: “Caution! Do not try this Pizza! It is so delectable, that now I can not eat any other Pizza but only this.”
Here, we show how Keras -a high-level neural network API- can be used for Natural Language Processing.
Keras has the simplest perception and can be easily used by humans, unlike other libraries that are easy to use by machines.