Abstract: A method for prioritizing one or more of resumes based on a job description is provided. The method includes (i) processing the job description to extract one or more keywords and a first period, (ii) extracting, from a first resume and a second resume of the one or more resumes, one or more section, one or more events, a first date range, and a second date range, (iii) obtaining a second period and a third period, (iv) comparing, is the first resume and the second resume, the one or more keywords with the one or more events and the first period with the third period to obtain a relevant event and a relevant section, (v) computing a first weight for the first resume and a second weight for the second resume, and (vi) prioritizing the first resume and the second resume based on the first weight and the second weight.

Abstract: A method of selecting and displaying of a targeted advertisement at a shopping cart is provided. The method includes (a) processing, by a processor, a product identifier received; from the shopping cart when a first product added to the shopping cart (b) obtaining one or more price indicators that correspond to the first product in the shopping cart, (c) selecting one or more advertisements that correspond to the first product based on (i) the product identifier, and fit) the one or more price indicators, and (d) delivering or displaying the one or more advertisements at the shopping cart. The product identifier is unique and specific to the first product.

Abstract: A computer implemented method for generating a summary of one or more resume from one or more of resumes to analyze insights of the one or more resume is provided. The computer implemented method includes (i) processing a first input includes a first indication to select a first resume from one or more of resumes, (ii) extracting, from the first resume, a first information, (iii) obtaining, from the first resume, a second information, (iv) generating a first table based on the first information and the second information, and (v) generating a first summary based on the first table, the first summary indicates a first correlation between (i) the one or more events associated with the first section and (ii) the one or more events associated with the second section over years.

Abstract: A system for identifying one or more resumes from a set of resumes matches a search query using a resume identifying tool is provided. The system includes a memory unit that stores a database and a set of modules, a display unit, and a processor. The set of modules includes (a) a keyword extraction module extracts at least one keyword from the search query, (b) a disambiguation module disambiguates the at least one keyword based on weighted formal concept analysis, and (c) and a resume identification module identifies the one or more resumes by matching (i) the at least one keyword associated with the search query, and (ii) at least one category associated with the at least one keyword with (i) at least one disambiguated keyword associated with each resume of the set of resumes, and (ii) at least one category associated with the at least one disambiguated keyword.

Abstract: A method for summarizing content using weighted Formal Concept Analysis (wFCA) is provided. The method includes (i) identifying, by a processor, one or more keywords in the content based on parts of speech, (ii) disambiguating, by the processor, at least one ambiguous keyword from the one or more keywords using the wFCA, (iii) identifying, by the processor, an association between the one or more keywords and at least one sentence in the content, and (iv) generating, by the processor, a summary of the content based on the association.

Abstract: A method of summarizing content around a sentiment using weighted Formal Concept Analysis (wFCA) is provided. The method includes identifying one or more sentences associated with the content based on parts of speech, identifying, at least one sentiment associated with the one or more sentences based on the parts of speech, identifying one or more keywords in the one or more sentences, disambiguating at least one ambiguous keyword from the one or more keywords using the wFCA, computing a weight for each sentence of the one or more sentences based on a number of keywords of the one or more keywords associated with each sentence, processing, an input including an indication of the sentiment, and generating a summary on the content around the sentiment based on (i) the weight, and b) at least one of i) the at least one sentiment, and ii) the indication.