How can I add a feature using torchtext?












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torchtext is able to read a file with some columns, each one corresponding to a field. What if I want to create a new column (which I will use as a feature)? For example, imagine the file has two columns, text and target, and I want to extract some information from the text and generate a new feature (e.g. if it contains certain words), can I do this directly with torchtext or do I need to do it in the file before?



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    torchtext is able to read a file with some columns, each one corresponding to a field. What if I want to create a new column (which I will use as a feature)? For example, imagine the file has two columns, text and target, and I want to extract some information from the text and generate a new feature (e.g. if it contains certain words), can I do this directly with torchtext or do I need to do it in the file before?



    Thanks!










    share|improve this question

























      1












      1








      1








      torchtext is able to read a file with some columns, each one corresponding to a field. What if I want to create a new column (which I will use as a feature)? For example, imagine the file has two columns, text and target, and I want to extract some information from the text and generate a new feature (e.g. if it contains certain words), can I do this directly with torchtext or do I need to do it in the file before?



      Thanks!










      share|improve this question














      torchtext is able to read a file with some columns, each one corresponding to a field. What if I want to create a new column (which I will use as a feature)? For example, imagine the file has two columns, text and target, and I want to extract some information from the text and generate a new feature (e.g. if it contains certain words), can I do this directly with torchtext or do I need to do it in the file before?



      Thanks!







      nlp pytorch pipeline torchtext






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      asked Jan 19 at 14:07









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