Our results also confirm the insights gained by Blitzer et al. ( 2007 ) , who observed that in crossdomain polarity analysis adding more training data is not always beneficial .
biographies bollywood boomboxes and blenders domain adaptation for sentiment classification
John Blitzer Mark Dredze Fernando Pereira
However , the results of the cars + cameras training data combination indicate that the cameras data does not contribute any additional information during the learning , since the results on both the movies and the web-services datasets are lower than when training only on the cameras data . Our results also confirm the insights gained by Blitzer et al. ( 2007 ) , who observed that in crossdomain polarity analysis adding more training data is not always beneficial . Apparently even the smallest training dataset ( cameras ) contain enough feature instances to learn a model which performs well on the testing data .
Our results also confirm the insights gained by @@CITATION , who observed that in crossdomain polarity analysis adding more training data is not always beneficial .