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NLPA is a framework designed to operate in conjuction with BDP4J (https://github.com/sing-group/bdp4j) and able to extract texts from Twitter, Youtube Comments, text files, raw email files (.eml) or WARC (Web Archive) files. The extracted text can be preprocessed into a Dataset using task (org.bdp4j.pipe.Pipe) definitions. This framework incorporates more than 30 preprocessing tasks to transform the text.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 |

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