Introduction

Millions of people are using Twitter and expressing their emotions like happiness, sadness, angry, etc. The Sentiment analysis is also about detecting the emotions, opinion, assessment, attitudes, and took this into consideration as a way humans think. Sentiment analysis classifies the emotions into classes such as positive or negative. Nowadays, industries are interested to use textual data for semantic analysis to extract the view of people about their products and services. Sentiment analysis is very important for them to know the customer satisfaction level and they can improve their services accordingly. To work on the text data, they try to…

Introduction

Computer vision methods and strategies can help to recognize the fruits with some basic
features like the color of fruits, the intensity of fruits, the shape of fruits, and the texture of the
fruits. The term “recognize” is to predict the name of the fruit. In this project, we are going to use 81 different fruit classes. We will train the model using TensorFlow.

Problem description

To build a robust system to recognize the fruits according to the color of fruits, the intensity of fruits, the shape of fruits, and texture of the
fruits.

Evolution measures

After training the model…