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Hot Topic, Inc. (stylized as HOT TOPIC) is an American fast-fashion company specializing in counterculture-related clothing and accessories, as well as licensed music. The stores are aimed towards an audience interested in rock music and video gaming , and most of their audience ranges from teens to young adults.
Financial market participants. High-frequency trading ( HFT) is a type of algorithmic trading in finance characterized by high speeds, high turnover rates, and high order-to-trade ratios that leverages high-frequency financial data and electronic trading tools. [ 1][ 2][ 3] While there is no single definition of HFT, among its key attributes ...
n. -gram. An n-gram is a sequence of n adjacent symbols in particular order. The symbols may be n adjacent letters (including punctuation marks and blanks), syllables, or rarely whole words found in a language dataset; or adjacent phonemes extracted from a speech-recording dataset, or adjacent base pairs extracted from a genome.
Topic model. In statistics and natural language processing, a topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. Topic modeling is a frequently used text-mining tool for discovery of hidden semantic structures in a text body. Intuitively, given that a document is about a ...
Over the past 12 months, Hot Topic generated $16.8 million cash while it booked net income of $19.5 million. That means it turned 2.3% of its revenue into FCF. That doesn't sound so great.
So what: The all-cash deal values Hot Topic at $14 per share, and represents a premium of 30% to its closing price on Wednesday. Sycamore took over embattled women's apparel retailer Talbots last ...
The bag-of-words model (BoW) is a model of text which uses a representation of text that is based on an unordered collection (a "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity . The bag-of-words model is commonly ...
v. t. e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect ...
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