SOAI-Datathon-Sentiment-analysis-nlp

Soai Bejaia Datathon TrainIt Challange : Decode The Vipe,Analyse Social Media Sentiment Using NLP My Attemp To Solve The Sentiment Analysis Challenge in the Soai Bejaia Datathon TrainIt Challange : Decode The Vipe : Analyse Social Media Sentiment Using NLP Output This Model need to predict which class the text of the test.csv file belongs to. The output file should contain 2 columns: the first one is the text and the second one is the sentiment. The sentiment have 5 different values : happy , sad , anxiety , angry , none Introduction The main goal of this challenge is to predict the sentiment of a given text. The dataset is composed of 2 columns: the first one is the text and the second one is the sentiment. The sentiment is a binary value: 0 for negative and 1 for positive. The dataset is composed of 2 files: train.csv and test.csv. The train.csv file contains 2 columns: the first one is the text and the second one is the sentiment. The test.csv file contains only the text column. The main goal is to predict the sentiment of the test.csv file. Data The dataset is composed of 2 files: train.csv and test.csv.