To create NPL and enhance the MVP model with a focus on violence.
Budget ₹1500-12500 INR
At Pinwheel, we want to build natural language processing (NLP) models that can detect potentially concerning situations or encounters (such as violence, bullying, and suicidal ideation) from a large corpus of text messages. The goal is to proactively notify parents of these incidents and allow them to take remedial action in a timely
manner. We are currently building an MVP model focusing on violence, but we want to improve the performance of this model and extend it to other situations (such as bullying and suicidal ideation). There are several challenges involved in this project, including the variability of language, the multi- author nature of the text message data, and the need to deal with class imbalance in the data. The practicum students will work on addressing these challenges and developing effective NLP models for detecting potentially concerning situations in text messages.
5 freelancere byder i gennemsnit ₹7000 timen for dette job
Hello, I have 4 year experience in machine learning, NLP and implemented basic to advanced level ML DL model like LR, SVM, K-NN, K-mean, DBSCAN, XGBoost, Randamforest, CNN, RNN, LSTM, Bi-LSTM etc. I have experience o Flere
I am an experienced Machine Learning Engineer with expertise in Natural Language Processing (NLP). I am confident that I can help Pinwheel build effective NLP models for detecting potentially concerning situations in t Flere
hello bhai ki hal a kya ho raha hai..............................................................................................
I have two year experience in this field and i am eager to leverage machine learning and data analytics to extract meaningful insights, make informed decisions and solve challenging business problems. I ensure to contr Flere
I'm sure I can do this job, I'm a programmer specialized in Python and Machine Learning, with a good expertise in AI mostly NLP, also I would be glad to participate in this project as I lived this situation, greetings Flere