Integrating a semantic-based retrieval agent into case-based reasoning systems: A case study of an online bookstore

Text analytics in industry: Challenges, desiderata and trends

“…A typical example of such applications is that of text classification, as presented in [15,16]. Second are those applications that aim at facilitating and enhancing the quality of the information-seeking process of end users and the results, such as the CBR application that accepts natural language question from users [17] and the information retrieval component of the application in [16]. Finally, applications in our third group are those that assist in decision making.…”

“…Our review of the current state-of-the-art will be based on the scientific articles published in this special issue of the Computers in Industry journal 2 on text analytics in industry, namely [12][13][14][15][16][17][18].…”

“…For instance, the clustering quality in [12] is evaluated using the purity metric. In [17], the accuracy of the solutions, retrieved from a case-base, in response to a query is estimated according to the average word similarity score and the mean average precision (MAP). The performance of other applications, such as text categorization [16,15], sentiment analysis [12], named entity recognition [14], is estimated using the standard measures of precision, recall and F1-score, the latter being a harmonic mean that balances precision and recall [47].…”

“…Likewise, the K-Means clustering algorithm of [12] identifies groups of similar documents based on their cosine similarity. Similarity at the semantic level is estimated using the traditional WordNet-based measures [17], i.e. the distance (e.g.…”

Novel approach to Case Based Reasoning System by aggregating Semantic Similarity Measures using Fuzzy Aggregation for Case Retrieval

“…Semantic similarity measures are categorized into three types: corpus based, ontology based and hybrid [4]. The first method calculates the similarity from syntactic information and semantic information that they contain and this method is called STS(Semantic Text Similarity) [5].…”