Class information for: |
Basic class information |
| ID | Publications | Average number of references |
Avg. shr. active ref. in WoS |
|---|---|---|---|
| 8162 | 1213 | 26.1 | 27% |
Classes in level above (level 2) |
| ID, lev. above |
Publications | Label for level above |
|---|---|---|
| 366 | 16658 | INFORMATION RETRIEVAL//INFORMATION PROCESSING & MANAGEMENT//COMPUTATIONAL LINGUISTICS |
Terms with highest relevance score |
| Rank | Term | Type of term | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
|---|---|---|---|---|---|---|
| 1 | TEXT CATEGORIZATION | Author keyword | 32 | 24% | 10% | 120 |
| 2 | TEXT CLASSIFICATION | Author keyword | 14 | 13% | 8% | 99 |
| 3 | LATENT SEMANTIC INDEXING | Author keyword | 7 | 18% | 3% | 33 |
| 4 | LATENT SEMANTIC ANALYSIS | Author keyword | 6 | 13% | 3% | 40 |
| 5 | REUTERS 21578 | Author keyword | 4 | 75% | 0% | 3 |
| 6 | DOCUMENT IDENTIFIER REASSIGNMENT | Author keyword | 3 | 100% | 0% | 3 |
| 7 | PEER ALLOCATION | Author keyword | 3 | 100% | 0% | 3 |
| 8 | TEXT CLASSIFICATION CATEGORIZATION | Author keyword | 3 | 100% | 0% | 3 |
| 9 | DOCUMENT CATEGORIZATION | Author keyword | 3 | 23% | 1% | 12 |
| 10 | E RULEMAKING | Author keyword | 3 | 50% | 0% | 4 |
Web of Science journal categories |
Author Key Words |
| Rank | Web of Science journal category | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
LCSH search | Wikipedia search |
|---|---|---|---|---|---|---|---|
| 1 | TEXT CATEGORIZATION | 32 | 24% | 10% | 120 | Search TEXT+CATEGORIZATION | Search TEXT+CATEGORIZATION |
| 2 | TEXT CLASSIFICATION | 14 | 13% | 8% | 99 | Search TEXT+CLASSIFICATION | Search TEXT+CLASSIFICATION |
| 3 | LATENT SEMANTIC INDEXING | 7 | 18% | 3% | 33 | Search LATENT+SEMANTIC+INDEXING | Search LATENT+SEMANTIC+INDEXING |
| 4 | LATENT SEMANTIC ANALYSIS | 6 | 13% | 3% | 40 | Search LATENT+SEMANTIC+ANALYSIS | Search LATENT+SEMANTIC+ANALYSIS |
| 5 | REUTERS 21578 | 4 | 75% | 0% | 3 | Search REUTERS+21578 | Search REUTERS+21578 |
| 6 | DOCUMENT IDENTIFIER REASSIGNMENT | 3 | 100% | 0% | 3 | Search DOCUMENT+IDENTIFIER+REASSIGNMENT | Search DOCUMENT+IDENTIFIER+REASSIGNMENT |
| 7 | PEER ALLOCATION | 3 | 100% | 0% | 3 | Search PEER+ALLOCATION | Search PEER+ALLOCATION |
| 8 | TEXT CLASSIFICATION CATEGORIZATION | 3 | 100% | 0% | 3 | Search TEXT+CLASSIFICATION+CATEGORIZATION | Search TEXT+CLASSIFICATION+CATEGORIZATION |
| 9 | DOCUMENT CATEGORIZATION | 3 | 23% | 1% | 12 | Search DOCUMENT+CATEGORIZATION | Search DOCUMENT+CATEGORIZATION |
| 10 | E RULEMAKING | 3 | 50% | 0% | 4 | Search E+RULEMAKING | Search E+RULEMAKING |
Key Words Plus |
| Rank | Web of Science journal category | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
|---|---|---|---|---|---|
| 1 | TEXT CATEGORIZATION | 15 | 17% | 7% | 80 |
| 2 | LATENT SEMANTIC ANALYSIS | 8 | 11% | 5% | 64 |
| 3 | CENTROID CLASSIFIER | 4 | 75% | 0% | 3 |
| 4 | ASSESSING SHORT SUMMARIES | 3 | 100% | 0% | 3 |
| 5 | TEXT CLASSIFICATION | 1 | 12% | 1% | 12 |
| 6 | MULTIPLE CONCEPTS | 1 | 100% | 0% | 2 |
| 7 | TEXT MINING APPROACH | 1 | 33% | 0% | 3 |
| 8 | DOCUMENT CLASSIFICATION | 1 | 25% | 0% | 4 |
| 9 | DIRICHLET ALLOCATION | 1 | 33% | 0% | 2 |
| 10 | EXPOSITORY TEXTS | 1 | 14% | 0% | 5 |
Journals |
Reviews |
| Title | Publ. year | Cit. | Active references |
% act. ref. to same field |
|---|---|---|---|---|
| Machine learning in automated text categorization | 2002 | 1631 | 33 | 52% |
| A journey from normative to behavioral operations in supply chain management: A review using Latent Semantic Analysis | 2015 | 1 | 33 | 18% |
| Web Page Classification: Features and Algorithms | 2009 | 47 | 25 | 36% |
| Latent semantic analysis | 2004 | 29 | 42 | 36% |
| Harnessing the expertise of 70,000 human editors: Knowledge-based feature generation for text categorization | 2007 | 15 | 20 | 50% |
| A Sentiment-Based Digital Library of Movie Review Documents Using Fedora | 2011 | 0 | 1 | 100% |
| Automated subject classification of textual web documents | 2006 | 11 | 13 | 38% |
| Harnessing consumer reviews for marketing intelligence: a domain-adapted sentiment classification approach | 2015 | 0 | 7 | 71% |
| A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge | 1997 | 1419 | 27 | 7% |
Address terms |
| Rank | Address term | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
|---|---|---|---|---|---|
| 1 | MAIN LIB 3087 | 1 | 100% | 0.2% | 2 |
| 2 | STATE INTELLIGENT TECH SYS | 1 | 50% | 0.2% | 2 |
| 3 | ENGN INFORMAT GRP | 1 | 30% | 0.2% | 3 |
| 4 | INTELLIGENT TECHNOL SYST | 1 | 23% | 0.2% | 3 |
| 5 | SINAI GRP | 1 | 21% | 0.2% | 3 |
| 6 | ADV SIGNALS | 1 | 50% | 0.1% | 1 |
| 7 | AUI | 1 | 50% | 0.1% | 1 |
| 8 | COMP MUS TECHNOL | 1 | 50% | 0.1% | 1 |
| 9 | COMP SYST I3A | 1 | 50% | 0.1% | 1 |
| 10 | CRC ENTERPRISE DISTRIBUTED SYST TECHNOL DSTC | 1 | 50% | 0.1% | 1 |
Related classes at same level (level 1) |
| Rank | Relatedness score | Related classes |
|---|---|---|
| 1 | 0.0000216376 | AUTOMATIC KEYWORD EXTRACTION//BURBEA RAO DIVERGENCE//COMPUTATIONAL INFORMATION GEOMETRY |
| 2 | 0.0000206656 | ANTI SPAM FILTERING//SPAM FILTERING//SPAM |
| 3 | 0.0000188119 | INTER INFORMAT//CROSS LANGUAGE INFORMATION RETRIEVAL//STEMMING |
| 4 | 0.0000177794 | SENTIMENT ANALYSIS//OPINION MINING//SENTIMENT CLASSIFICATION |
| 5 | 0.0000155852 | PROBABILISTIC INDEXING//CLUSTER BASED RETRIEVAL//PROBABILISTIC RETRIEVAL |
| 6 | 0.0000144724 | WORD SENSE DISAMBIGUATION//NATURAL LANGUAGE ENGINEERING//COMPUTATIONAL LINGUISTICS |
| 7 | 0.0000128249 | INFORMATION RETRIEVAL//DISTRIBUTED INFORMATION RETRIEVAL//ACM TRANSACTIONS ON INFORMATION SYSTEMS |
| 8 | 0.0000124047 | MULTI DOCUMENT SUMMARIZATION//TEXT SUMMARIZATION//MULTIDOCUMENT SUMMARIZATION |
| 9 | 0.0000118773 | STRING KERNELS//SEMANTIC RELATION EXTRACTION//SOCIAL QA |
| 10 | 0.0000111109 | INFORMAT SCI INTELLIGENT SYST//NATURAL LANGUAGE DICTIONARIES//TRIE STRUCTURE |