emotion sensor ppt

1. PRESENTATION ON
EMOTION SENSOR
SUBMITTED BY :
Lalit Mohan Kumalta
Pramod Singh

2. INTRODUCTION
 Emotion Sensor is simply a tool to detect emotions of sentences or
user provided tweets.
 It uses various machine learning algorithms and python libraries.
 Few of these libraries include numpy,pandas,scikit learn.

3. OBJECTIVE
 The main objective of this project is to detect emotions of sentences
or user provided tweets.
 Texts as well as speech recognition is used to provide inputs.

4. VARIOUS ML ALGO USED
 Logistic Regression
 Linear Regression
 Naïve Bayes Classifier
 Support Vector Machines
 Multinomial Naïve Bayes Algorithm

5. CONCEPTS USED FOR BETTER
PERFORMANCE
 Segmentation
 Tokenization
 Stemming
 Lemmatization

6. Role of Supervised Learning
 Supervised learning allows collecting data and produces data output
from previous experiences.
 Helps to optimize performance criteria with the help of experience.
 Supervised machine learning helps to solve various types of real-
world computation problems

7. Role of Speech Recognition
 Speech recognition enables hands-free control of various devices and
equipment (a particular boon to many disabled persons), provides
input to automatic translation, and creates print-ready dictation.
 Among the earliest applications for speech recognition were
automated telephone systems and medical dictation software.

8. Various emotions Analyzed
Various SENTIMENTAL ANALYZER analyzed through this tool are happy ,
sad , angry , neutral etc.

9. Future Scopes
 Multi-statements analysis.
 Complex statements analysis.
 emotions behind open ended questions.
 Adding of additional emotions.
 Improving accuracy of the tool.