References to geographic locations are common in text data sources including social media and web pages. They take different forms from simple place names relative expressions that describe location through a spatial relationship reference object (e.g. the house beside Waikato River). Often complex, multi-word phrases employed road railway cross at right angles; line with canal) where relationships communicated various parts of speech prepositions, verbs, adverbs adjectives. We address...

Geotagging, the process of tagging documents with geographical information, is an important issue in information retrieval systems. In this paper, we propose a novel approach for geotagging textual web documents. Existing techniques disambiguate place names occurring document individually first and then find its focus. As opposed to this, proposed approach, considers all together without disambiguating them individually. It heuristic-based three step process. The hierarchical, second one...

The increasing scale of education has decreased the teacher–student ratio, making it difficult to keep track student's progress individually. Therefore, teachers are leveraging artificial intelligence tools such as smart tutoring digital like learning management systems, and automated solvers for various subjects. Mathematics is one most fundamental subjects in school education. This work deals with facilitating automatic solving geometry math word problems (MWPs) at elementary level. To...

The entire world has been undergoing its own digital transformation over the past few decades as technology advanced in leaps and bounds. Following this, an increase number of people using platforms for buying products online likewise increases questions or enquiries posted about a product on shopping platform like Amazon day to basis. Though we have gone completely posting these questions, answering is still manual. forums are rarely active. By time user gets answer his question, either he...

Existing data structures which facilitate storage and retrieval of geographical are R-trees, R* trees, KD trees etc. Most widely used accepted structure among these is the R-tree. A drawback with R-trees that it represents regions as fictitious rectangles do not correspond to actual regions. Also represent hierarchy very well. For example New York City belongs state in country United States America a part North continent. This kind information brought out naturally by R- trees. Moreover,...

Sarcasm is a form of sentiment characterized by the use words that express opposite what meant. detection has applications in multiple domains ranging from analysis product reviews to user feedback, and online forums. important understand opinions intentions areas such as sentiment-based classification opinion mining. This can result better development customer service. be challenging task because sarcastic sentences may positive expressions convey negative meanings or meanings. Also, very...

Abstract Spatial relations in natural language are frequently expressed through prepositions. Thus, the locative expressions “New York United States” and “the house on river” prepositions “in” “on,” respectively, serve to communicate relationships space between subject object of preposition. Automatic detection use a spatial particular geo‐spatial sense that refers geographic context is interest supporting automated methods for determining actual location referred by expressions. This work...

Named Entity Recognition (NER) is a Natural Language Processing (NLP) task of identifying entities from natural language text and classifies them into categories like Person, Location, Organization etc. Pre-trained neural models (PNLM) based on transformers are state-of-the-art in many NLP including NER. Analysis output DistilBERT, popular PNLM, reveals that mis-classifications occur when non-entity word at place contextually suitable for an entity. The paper the hypothesis performance PNLM...

This paper proposes an autonomously assessing system for the verbal examination of candidates. The uses audio-video inputs and processes them to detect candidate's spoken answer, compares it model answer in dataset with corresponding question. semantic similarity score will be calculated used recommend next question from database using various types recommendation systems discussed paper. Additionally, employs video analysis techniques prevent modern malpractices like multiple faces reading...

AI (Artificial Intelligence) is playing its role in every field as automation the way forward. Solving geometry mathematics word problems (MWPs) automatically can help smart tutoring and has a plethora of applications many fields. To solve MWPs, multi-modal methods are needed to parse question text using Natural Language Processing (NLP) diagram Image (IP) techniques combine information from both. The then be structured appropriate axioms theorems need applied transform into intermediate...

Traditionally, Question Answering (QA) has been an important task in the field of Artificial Intelligence (AI) and a substantial amount research done past proposing several methods to answer questions automated way. The process QA viewed differently by different researchers past. Till date, current / existing systems cannot elementary science which are obvious easy even for primary school student. This paper documents various methodologies proposed area specifically domain includes...