Predicting Market Performance Using Machine and Deep Learning Techniques

 Today, forecasting the stock market has been one of the most challenging issues for the ‘‘artificial intelligence’’ AI research community. Stock market investment methods are sophisticated and rely on analyzing massive volumes of data. In recent years, machine-learning techniques have come under increasing scrutiny to assess and improve market pred...

Predicting Market Performance Deep Learning Stock Market Prediction Predicting Economic Trends Forecasting Stock Market Prices

Product Rating through Sentiment Analysis

 Sentiment analysis is defined as the process of mining of data, view, review or sentence to predict the emotion of the sentence through natural language processing (NLP). The sentiment analysis involve classification of text into three phase “Positive”, “Negative” or “Neutral”. It analyzes the data and labels the ‘better’ and ‘worse’ sentiment as...

Sentiment Analysis for Product Rating Sentiment Analysis product reviews using machine learning sentiment analysis using python sentiment analysis for product rating source code

Minimize Social Network Rumors Based on Rumor Path Tree

 Social networks have become a powerful information spreading platform. How to limit rumor spread on social networks is a challenging problem. In this article, we combine information spreading mechanisms to simulate real-world social network user behavior. Based on this, we estimate the risk degree of each node during the hazard period and analy...

Social networks Rumors Classification Rumor Path Tree Social Network Rumors Social networks

I LET DEPRESSION AND ANXIETY DROWN ME…” IDENTIFYING FACTORS ASSOCIATEDWITH RESILIENCE BASED ON JOURNALING USING MACHINE LEARNING AND THEMATIC

 Over the years, there has been a global increase in the use of technology to deliver interventions for health and wellness, such as improving people’s mental health and resilience. An example of such technology is the Q-Life app which aims to improve people’s resilience to stress and adverse life events through various coping mechanisms, including ...

MACHINE LEARNING BASED ON JOURNALING

ICS: TOTAL FREEDOM IN MANUAL TEXT CLASSIFICATION SUPPORTED BY UNOBTRUSIVE MACHINE LEARNING

 We present the Interactive Classification System (ICS), a web-based application that supports the activity of manual text classification.The application uses machine learning to continuously fit automatic classification models that are in turn used to actively support its users with classification suggestions. The key requirement we have establishe...

MACHINE LEARNING FREEDOM IN MANUAL TEXT

COMPREHENSIVE ANALYSIS OF TWITTER TRENDING

 Twitter is among the most used microblogging and online social networking services. In Twitter, a name, phrase, or topic that is mentioned at a greater rate than others is called a "trending topic" or simply “trend”. Twitter trends has shown their powerful ability in many public events, elections and market changes. Nevertheless, there has been ver...

SENTIMENTAL ANALYSIS USING A CODE-MIX DATASET OF TAMIL-ENGLISH

 This paper describes the development of a multilingual, manually annotated dataset for three under-resourced Dravidian languages generated from social media comments. The dataset was annotated for sentiment analysis and offensive language identification for a total of more than 60,000 YouTube comments. The dataset consists of around 44,000 comments...

DATA ANALYSIS OF CONSUMER COMPLAINTS IN BANKING INDUSTRY USING K-MEANS CLUSTERING AND SENTIMENTAL ANALYSIS

 This paper specialise in exploring and analyzing Consumer Finance Complaints data, to seek out what percentage similar complaints are there in reference to an equivalent bank or service or product. These datasets fall into the complaints of Credit reporting, Mortgage, Debt Collection, personal loan and Banking Accounting. By using data processing t...

WEAKLY SUPERVISED DEEP LEARNING FOR CUSTOMER REVIEW SENTIMENT ANALYSIS

 In recent times the concept of smart cities have gained grate popularity. The ever increasing population has led to chaotic city traffic. As a result of the process of searching a parking lot becomes tedious. It is time consuming task leading to discomfort. The fuel consumption is on an increasing side due to such scenarios. The increase in vehicul...

Opinion mining for hotel rating through reviews

 Opinion mining is very much essential in commerce websites, furthermore, advantages with individuals. An ever-increasing amount of results are stored on the web as well as the amount of people acquiring items from the web are increasing, as a result, the users reviews, or posts are increasing day by day. The reviews towards shipper sites express th...

Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer

 The cross-lingual sentiment analysis (CLSA) aims to leverage label-rich resources in the source language to improve the models of a resource-scarce domain in the target language, where monolingual approaches based on machine learning usually suffer from the unavailability of sentiment knowledge. Recently, the transfer learning paradigm that can tra...

IFC-BD An Interpretable Fuzzy Classifier for Boosting Explainable Artificial Intelligence in Big Data

 In current Data Science applications, the course of action has derived to adapt the system behavior for the human cognition, resulting in the emerging area of explainable artificial intelligence. Among different classification paradigms, those based on fuzzy rules are suitable solutions to stress the interpretability of the global systems. However,...

Classifying User Experience Based on the Intention to Communicate

 Experience mining is considered a substantial extension of opinion mining. Experience mining covers the description of all events that are related to the user's perception in the interaction with the object. There is information about the user`s experience that cannot be obtained with polarity analysis or sentiment analysis. The information obtai...

A Proposed Solution for Sentiment Analysis on Tweets to Extract Emotions from Ambiguous Statements

 With the advancementofweb technology and its growth, there is huge volume of data present in the web for internet users and a lot of data is generated too. Internet has become a platform for online learning, exchanging ideasandsharing opinions. Social networkingsiteslike Twitter, Face book, Google are rapidly gaining popularity as they allow people...