What are the ways to handle out of domain inputs for text classification?

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sentiment-analysis opinion-mining NLP nlp-machine-learning text-mining

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  • awesome-sentiment-analysis

    Repository with all what is necessary for sentiment analysis and related areas

    • Get or generate negative class data. There are adversarial approaches that can improve domain generalization, but it's best to acquire more data from diverse sources. You mentioned you're working on sentiment in one of your comments- there are a ton of open-source sentiment datasets, at least for English, comprising millions of rows of data. Randomly sample from a wide variety of them to hit as many domains as possible. It's also worth including a neutral class.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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