I do not know if this is the right place to post my question. I am a beginner in data science and machine learning techniques. I would need to build a modem that can allow me to classify texts and run some sentiment analysis. Right now I have only data collected and they miss any information about sentiment analysis.
Data collected (texts) are approximetely 50000 and they where already cleaned of punctuation and stop words. I heard about the possibility to build some neural networks or use a logistic regression, but I do not know anything about specific models to use for that.
Furthermore, I might consider to build a new model from scratch (I know that can take ages and a lot of efforts) but to do it ai would need to know what I would need (for example, already existing model/dataset to train with dictionaries and sentiment analysis). The problem is that what inwould like to do is to classify a text as positive or negative (sentiment); also, classify it as fake or not fake.
Do you have any suggestion or advice? If you need further information, I would be happy to provide them.