Ask HN: How should I implement sentiment analysis with no money?
I'm making a product and hosting on a very cheap server I can afford. One feature uses the sentiment of user input.
So far, I'm doing it with an old, bulky neural network running as a process on the same web server. It works okay, but I think that will scale very poorly.
So I'm considering other options. I can use a small, fast naive sentiment classifier (like TextBlob), but it has really bad accuracy. Alternatively, I can use free credits on the Google Cloud sentiment API until I get a customer and can afford to set my own fast, accurate analysis server up. But I don't know if I will have enough cloud credits to get me to that point, without getting squeezed.
So I'm not sure what to do. Do you have any ideas?
So far, I'm doing it with an old, bulky neural network running as a process on the same web server. It works okay, but I think that will scale very poorly.
So I'm considering other options. I can use a small, fast naive sentiment classifier (like TextBlob), but it has really bad accuracy. Alternatively, I can use free credits on the Google Cloud sentiment API until I get a customer and can afford to set my own fast, accurate analysis server up. But I don't know if I will have enough cloud credits to get me to that point, without getting squeezed.
So I'm not sure what to do. Do you have any ideas?