| Abstract | We propose a context-sensitive topical PageRank method for keyword ranking and a probabilistic scoring function that considers both relevance and interestingness of keyphrases for keyphrase ranking. |
| Introduction | For keyword ranking, we modify the Topical PageRank method proposed by Liu et al. |
| Method | Next for each topic, we run a topical PageRank algorithm to rank keywords and then generate candidate keyphrases using the top ranked keywords (Section 3.3). |
| Method | 3.3 Topical PageRank for Keyword Ranking |
| Method | Topical PageRank was introduced by Liu et al. |
| Related Work | Mihalcea and Tarau (2004) proposed to use TextRank, a modified PageRank algorithm to extract keyphrases. |