GATE Cloud [3]), the problem of creating the distributed text processing systems becomes more actual because of high requirements to
natural language text processing frameworks that works in cloud.
In addition, he found that "negative" gossip, characterized through a
Natural Language Text Processing analysis, was in fact 2.7 times more prevalent than positive gossip, though a significant portion of the messages were sentiment-neutral.
The government-sponsored MUCK-II [19] evaluation is, to our knowledge, the most meaningful test of
natural language text processing, but the participants in the MUCK-II evaluation were not at liberty to release the specific results of the experiment.
