13. A system comprising: a memory; and a processing device operatively coupled to the memory, the processing device being configured to execute operations comprising: identify an original topic representation for a set of electronic documents stored at least temporarily in a non-transitory storage media; perform, by a processor, an informativeness analysis on the original topic representation; perform a topic consistency analysis on the original topic representation; perform a topic redundancy analysis on the original topic representation in view of a second topic representation, wherein when performing a topic redundancy analysis on the original topic representation in view of a second topic representation, the processing device is configured to: identify a first set of knowledge points in the original topic representation and a second set of knowledge points in the second topic representation; identify a semantic vector representation of each knowledge point of the first set of knowledge points and second set of knowledge points; calculate a first centroid of the original topic representation and a second centroid of the second topic representation; calculate an average semantic distance between the first centroid and the second centroid; in response to determining that the average semantic distance between the first centroid and the second centroid is below a third threshold, merge the original topic representation and the second topic representation; and in response to determining that the average semantic distance between the first centroid and the second centroid is above the third threshold, keep the original topic representation and the second topic representation; and generate a refined topic representation based on the informativeness analysis, the consistency analysis, and the redundancy analysis.
13. A system comprising: a memory; and a processing device operatively coupled to the memory, the processing device being configured to execute operations comprising: identify an original topic representation for a set of electronic documents stored at least temporarily in a non-transitory storage media; perform, by a processor, an informativeness analysis on the original topic representation; perform a topic consistency analysis on the original topic representation; perform a topic redundancy analysis on the original topic representation in view of a second topic representation, wherein when performing a topic redundancy analysis on the original topic representation in view of a second topic representation, the processing device is configured to: identify a first set of knowledge points in the original topic representation and a second set of knowledge points in the second topic representation; identify a semantic vector representation of each knowledge point of the first set of knowledge points and second set of knowledge points; calculate a first centroid of the original topic representation and a second centroid of the second topic representation; calculate an average semantic distance between the first centroid and the second centroid; in response to determining that the average semantic distance between the first centroid and the second centroid is below a third threshold, merge the original topic representation and the second topic representation; and in response to determining that the average semantic distance between the first centroid and the second centroid is above the third threshold, keep the original topic representation and the second topic representation; and generate a refined topic representation based on the informativeness analysis, the consistency analysis, and the redundancy analysis. 14. The system of claim 13 , wherein when identifying the original topic representation for the set of electronic documents, the processing device is configured to: crawl the set of electronic documents; extract a plurality of knowledge points from the set of electronic documents; perform a topic model analysis on the knowledge points from the set of electronic documents; and select the original topic representation for the set of electronic documents based on the topic model analysis.