tweetTag
Entity Extraction, Linking, Classification, and Tagging for Social Media: A Wikipedia-Based Approach.
KBfunctions.py - tweetTag
From the Web Information Retrieval's project
In the navbar you can find all the link to the codes with their explanation.
Common or not common?
The function takes as input the results that are the list (possibly empty) of common nodes retured from the commonNodes
function and the list of the nodes for each entity in that tweet.
This function returns the set of tags that better describes the tweet, considering the two cases:
- There are common nodes of the lineages of the mentions.
- There are not common nodes.
In the first case we consider all the types of the common nodes once and we return them, avoiding the “Thing”-type.
In the second case we just pick the first node of the lineage, with higher score and we return the types of that node.
def tweetTag(results,listOfEntites):
#I have two possible cases:
#result is not empty
if len(results) != 0:
tags = set()
for elem in results:
for tag in elem.get('types'):
tags.add(tag)
tags.remove("Thing")
return tags
#result is empty so there are no nodes in common
else:
tags = set()
for list in listOfEntites:
if list:
for tag in list[0].get('types'):
tags.add(tag)
tags.remove("Thing")
return tags