Abstract: Various embodiments of systems and methods for extraction and grouping of feature words are described herein. Feature words are obtained from a first corpus of text bodies comprising a plurality of reviews. A second corpus is created using a combination of the obtained feature words, verbs and adjectives from the first corpus. The second corpus comprises filtered reviews and each of the filtered reviews pertains to a review. Topics are preliminarily assigned for words in the filtered reviews of the second corpus. For each of the feature words in the second corpus, a topic count is determined for every preliminarily assigned topic. After determining the topic count, one or more of the topics are finally assigned to the feature words based on a topic count value. At least one topic is presented as a group of the feature words for which the at least one topic is assigned based on the topic count value.

Abstract: A language-neutral method for searching online handwritten notes is provided. The different algorithms contained in this method enable querying online multilingual handwritten documents with substrings of words rather than just whole words. More particularly, two approaches are presented —one based on partial Fréchet distance calculations and the other based on a pair hidden Markov models. The partial Fréchet distance is adapted from the traditional Fréchet distance concept to match a subcurve or prefix of a query word. The pair hidden Markov model used in the present application is adapted from pair hidden Markov models used in bioinformatics as generative models of local and global alignment of biological sequences.

Abstract: Various embodiments of systems and methods for extraction and grouping of feature words are described herein. Feature words are obtained from a first corpus of text bodies comprising a plurality of reviews. A second corpus is created using a combination of the obtained feature words, verbs and adjectives from the first corpus. The second corpus comprises filtered reviews and each of the filtered reviews pertains to a review. Topics are preliminarily assigned for words in the filtered reviews of the second corpus. For each of the feature words in the second corpus, a topic count is determined for every preliminarily assigned topic. After determining the topic count, one or more of the topics are finally assigned to the feature words based on a topic count value. At least one topic is presented as a group of the feature words for which the at least one topic is assigned based on the topic count value.

Abstract: A language-neutral method for searching online handwritten notes is provided. The different algorithms contained in this method enable querying online multilingual handwritten documents with substrings of words rather than just whole words. More particularly, two approaches are presented—one based on partial Fréchet distance calculations and the other based on a pair hidden Markov models. The partial Fréchet distance is adapted from the traditional Fréchet distance concept to match a subcurve or prefix of a query word. The pair hidden Markov model used in the present application is adapted from pair hidden Markov models used in bioinformatics as generative models of local and global alignment of biological sequences.