• Anuradha V. Yenkikar
• Simrit Raina
• Ashlesha Kothawale
• Shruti Mate

Feelings have a noteworthy job in everyday correspondence between two people. Feeling identification can be coordinated and formed into the content to discourse applications. Most specialists have endeavored to identify the client's feeling in some ways, for example, outward appearance, voice, and content. A fruitful intelligent framework between individual and PC can be accomplished when the framework can perceive & decipher the outflow of a person feeling precise. The user emotions are recognizing in two way i.e. hard sensing and soft sensing. We can analyze the user by their gestures, emotions, and thoughts. An emotion can be described as a state of mind to express our feelings which affection, rage, excitement etc. Programmed feeling recognition from content has pulled in developing consideration because of its possibly helpful application. Perceiving feelings through content is one of the greatest difficulties for people and machines. The feeling location framework can be connected to numerous areas also, for example, in business (to perceive the clients' impression dependent on their announcement on the item offered), in training (used to identify the understudies' excitement for a web-based learning framework), in PC gaming, in emotional wellness, in national barrier, and others. Distinguishing human feeling through content is considered as the most basic one.

Emotion types; Textual Emotions; ERR; Emotion analysis.

"Survey on Emotion Detection from Text using Automatically Generated Rules", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.134-140, May-2019, Available :http://www.jetir.org/papers/JETIRBO06023.pdf

"Survey on Emotion Detection from Text using Automatically Generated Rules", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp134-140, May-2019, Available at : http://www.jetir.org/papers/JETIRBO06023.pdf