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    1,173 facebook sentiment analysis php jobs found, pricing in USD

    We need an API in Python that uses NLTK tool to get sentiment score of any text. Also, we need to integrate this API in our PHP code where we'll be sending the complete text to be processed. This API should accept the text which basically will be a tweet that is fetched from twitter site and return the calculation of that tweet which includes the nature

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    ...the following task: - I have 1M textual documents (title, body, author) - To cluster similar documents together - To create a single title for a cluster - To perform sentiment analysis over the whole cluster (or to sum up sentiments of all articles within the cluster?) All of tasks above needs to be made in a way so we can feed these data to backend

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    Noval approach

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    I need you to develop some software for me. I would like this software to be developed for Windows using Python. Deep learning Sentiment analysis

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    I need you to develop some software for me. I would like this software to be developed for Windows using Python. Deep learning sentiment analysis

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    I need you to develop some software for me. I would like this software to be developed for Windows using Python. Innovative approach for Sentiment analysis

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    I need you to develop some software for me. I would like this software to be developed for Windows using Python. New invocation in sentiment analysis

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    ...file attached (most of which are coming from the paper so matlab code is present). The additional features requires knowledge of Opinion Mining - Sentiment Analysis ( Especially Aspect Based Sentiment Analysis). The data file on which this Python 3 code should be run is present here: [login to view URL]

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    ...percentage) • Technical Indicators (MA, MACD, Momentum, CCI, RSI, …) • Fundamental data (Key ratios, finance statement) • Macroeconomics ratios (GDP, CPI, Job, Interest rate, …) • Sentiment data (Google news, Social networks) Part 2: Data Preprocessing • Dummy variables • Concatenate data frames • Missing data • Scaling data &bul...

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    I need a platform whereby, users can monitor their brand and learn about what peopl...platform whereby, users can monitor their brand and learn about what people are saying about them on social media websites. We have developed a sentiment analysis tool that developer can use to measure sentiment of posts or developer may choose to develop his/her own

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    ...provides an API so it is possible to extract and analyze comments from particular videos. Following this, a portion of the data can be labeled according to its nostalgic sentiment, and the remainder of the data can be analyzed using natural language processing techniques to determine how prevalent the nostalgia is among commentators. The final graphs

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    ...Merchandising Image recognition and understanding Concept Extraction Sentiment and trend analysis Inbound and outbound logistics optimization All manner of fraud detection and prevention Entity resolution(do this all belong to the same person?) Classification Supply and demand analysis forecast Wallet management and funding source optimization Various

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    ...promoter score, likert and more), run big data analytics, predict future outcomes/market trends as experts would do, anticipate events, run text analytics (WordCloud, sentiment analysis, etc) to gain a competitive advantage over others and optimize business. In addition, Big Data SmartSurveyApp requires no technological infrastructure/data-centers

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    ...will affect the price) - updating shared calendar with new events they find on several websites - tracking technical analysis tools that help us to identify trading opportunities with cryptos that we like - tracking sentiment analysis tools that help us to identify changes in social media 'noise' with cryptos that we like - reviewing ICO (new cryptos)

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    Twitter Analysis & Mining 1- Analysis of Tweets containing specific 4 / 5 keywords over the last 2 / 3 months. The analysis includes: Graph showing of number of tweets over time for each keyword focusing in unusual activities Graph showing the number of “fake accounts” tweeting for each keyword Graph showing sentiment analysis of 2 keywords the...

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    Collecting relevant information. Determining market sentiment via research, valuation and data analysis.

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    ...team and account executive team to generate relevant content for the community • Analyze and report result of communications and community promotions; generate analysis report on community sentiment and audience feedback...

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    1. Leverage ML Techniques to build up Stock Prediction Model base on Input data (Technical, fundamental, Sentiment data) 2. Implement Quant Strategies 3. Construct and Optimal Portfolio based on ML Techniques. 4. Back Test

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    ...list your past experience in such project 2. What was your role? 3. Attach a quick process showing how are going to build predictive analytics using user intent descriptive analysis And finally how would you apply MLL to the process? The main evaluation will be on your research capabilities. Responsibilities for Data Scientist • Develop custom data

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    ...learning to allow developers to build applications that can receive user input in natural language and extract meaning from it and i used Microsoft’s Cognitive Services API for sentiment …...

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    I'm supposed to make an python function to Analyse emotions from text(Phone te...more than 85%. Also this function should be able to collect data from shared textual content on Facebook/Twitter and analyse its sentiment for 6 basic emotions. And i am providing text messages from phone, function should be able to anlyse the sentiment of texts as well.

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    Looking for someone with experience in API scraping, Kinesis streams, R studio, D3 for ongoing Cryptocurrency sentiment trading analysis. Must have big data and AWS Kinesis experience. Full details provided after interview process. Please start your bid proposal with the phrase I can help to weed out the auto bids.

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    ...securely using their e-mail or Facebook account, CocoaPods for dependency management. The application would provide daily horoscope, calculate rising sign (ascendant) and have a daily question that will allow you to level up and unlock new information. You can respond freely in maximum 20 words, and using sentiment analysis it will provide you some information

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    ...securely using their e-mail or Facebook account, CocoaPods for dependency management. The application would provide daily horoscope, calculate rising sign (ascendant) and have a daily question that will allow you to level up and unlock new information. You can respond freely in maximum 20 words, and using sentiment analysis it will provide you some information

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    I need you to develop some software for me. I would like this software to be developed for Windows using Python. Lstm Network implementation for twitter data sentiment analysis,but feature engineering must be done via 1D convolutional neural networks; preferred environment is keras on tensorflow

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    I am undertaking a machine learning sentiment project to analyse tweet sentiment over the past week. I would like to present this data on a simple web app, was planning to use chartjs, but cutting it close with the deadline for the project. I will have data for multiple politicians, the following should help you get a rough idea of what is desired:

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    ...Statistics Regression and Classification Neural Networks Heuristic Algorithms Simulation Decision Analysis Multivariate Statistics Machine Learning Text and Sentiment Analysis Sales Forecasting Market Response Models Social Network Analysis Data Visualization In order to be considered, please see the attached pdf file, and write a sample

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    I have written a bit of simple python code in Jupyter Notebook to grab tweets and classify their sentiment... Have a bug in the code somewhere + my SVM Classifier is classifying all test data as positive. For an experienced person in the field, this will barely take 15mins. All I need is for you to point out where the bug, and pointers to fix it.

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    Hi, I am having an Amazon data. I need to build a sentiment analysis for this using python. [Removed for encouraging offsite communication which is against our Terms and Conditions -Section 13:Communication With Other Users] further details can be discussed after Regards Pavan Kumar

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    I would like to hire a Visualization Expert who can work with Rstudio. The project is a Twittet sentiment analysis on Karnataka elections and an Rshiny application with all the analysis and various D3 plots. The project needs to be done before June 7.

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    ...platform that i want to build. this platform should be can do this feature's : 1. Mentions Feed 2. Discussion Volume Chart 3. Marketing Analytics 4. Influence Score 5. Sentiment analysis 6. Alerts Field 7. Data Exporting 8. Filtering Data learn it from their official website (brand24 or digimind). and then how long it's gonna take for develop this platform

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    I need you to write a research article. I am sandip goswami. I am doing my master in canada. i want to some who help me to write thesis on sentiment analysis on twitter.

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    I am looking for someone who can help me fast to absolvate this code ( [login to view URL] ) .. I dont know how I have to build the datasets and how I have to start the program. Cheers

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    ...Collect tweets send by one or multiple twitter accounts through the twitter streaming API 1a. Twitter accounts to collect tweets from should be easy to change 2. Perform sentiment analysis on the collected tweets using the best available (free) method. 3. Compare tweets with a database of publicly traded companies 4. Using own software/database or clearbit

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    IG Trading bot Ended
    VERIFIED

    ...change 2. Perform sentiment analysis on the collected tweets using [login to view URL] API 3. Compare tweet with a database of publicly traded companies 4. Using [login to view URL] API identify publicly traded company stock ticker 5. Determine the current price of the stock to make trade with 6. Make a short or long buy depending on the tweet sentiment within the threshold

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    I need you to develop some software for me. I would like this software to be developed using Python. Build a tool to summaries documents and basic sentiment analysis for that summary with existing data

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    We are a broadband provider with a churn problem...available to cross correlate to build profiles of customer behaviour types: residential address, recent support history (including a cloud generated sentiment analysis), NPS, bandwidth usage stats, etc. Data analysis required plus probably some more detailed digging into specific examples for insight.

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    We are looking for candidates who are good with report writing and deriving meaningful insights ...brand/product. The candidates are expected to interpret the data and give directional suggestions. The report should include: Notes on Topic wise & Subtopics analysis Notes on Sentiment wise analysis Recommendations (Removed by Freelancer.com Admin)

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    ...help with. Need help with optimizing my Cloudera 5.11 infrastructure as well as optimizing the performance of some scrapers for my wine analytics application. Also have sentiment analysis training that I need help with (my system does it natively using spark but needs to be trained still). Please be sure to list your experience with Cloudera in your application

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    i need a bot that can use whatever algorithms you know of to make predictions based around 15 minute to daily intervals. big plus if you can incorporate ways of market sentiment.

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    Hello i have some work sentiment analysis that i need help with. Contact me if you can start right away

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    I want a solution using R that allows me to search tweets based on a keyword and perform sentiment analysis.

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    Hi, Freelancer must have experience in asp.net ,bootstrap,sql server What is crawler ? how to perform sentiment analysis? It has to be complete in less then 12 hours

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    ...your past experience in such project 2. What was your role? 3. Attach a quick process showing how are going to build predictive analytics using user intent descriptive analysis And finally how would you apply MLL to the process? Responsibilities for Data Scientist • Develop custom data models and algorithms to apply to data sets. • Use predictive

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    Construct a sentiment model Discuss what is meant by sentiment modelling - Provide details of the steps that you have carried out to build and evaluate your models. - Use any tables, graphs and charts you feel are necessary to illustrate your findings - Provide a critical evaluation of your models and discuss one strength and one weakness

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    Hi, I want someone who can create Web Crawler and Do Sentiment Analysis using Naive Bayes Algorithm as i have very short time must be done within 12 hours and also generate report of that analysis

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    My name is Claudia and I need to perform a sentiment analysis on hotel reviews on TripAdvisor using programming language (R, Python whatever you consider most useful). Unfortunately, I do not have any knowledge in coding, hence I need your help! 1. web scrapping: the code should first include scraping only the hotel's reviews concerning the suites

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    ...(screenshots, code print outs) and describe key methodological steps. 3. Using a suitable example, discuss the role of pre-processing in the context of social media analysis. Identify TWO pre-processing steps relevant to the dataset you created in c) and apply them to your data. In your answer you MUST detail your processing steps and provide

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