Php sentiment analysis jobs

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    1,229 php sentiment analysis jobs found, pricing in USD
    Predicting Stock Prices 6 days left
    VERIFIED

    I am interested to develop a tool which can predict stock prices with an accuracy >80%. There are some ideas out e.g. LSTM, MLP classifier incl. sentiment analysis (Twitter, Google, Facebook, Newspaper) etc. What I am looking for is an Python developer which creates this tool together with me, do proper testing of the different possibilities (deep learning

    $7 / hr (Avg Bid)
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    I need a wordcloud and sentiment analysis on a list of open ended answers.

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    Understanding a writing the study of a paper

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    Write a 700 words review on the introduction of a specified paper which i will hand it over to you

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    Hi, I am looking for senior Machine Learning developer for my project. We use LSTM or RNN to build the models. I have a vietnamese customer review dataset. We will work on this dataset. Please contact with me for more information. Thank you for your attention!

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    Investment App -2 2 days left
    VERIFIED

    ...prediction and also suggest investment in the stock and connect with trading platform and do investment on behalf of the Customer. It needs to be build in Python, Perform Sentiment analysis from news articles posted on web about individual companies/sectors. The scope of data collection would also include BSE corporate announcements, earning transcripts

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    We have a startup website where users posts images and videos with some description. We need to place those posts in appropriate categories based on sentiment analysis and photo recognition. Only serious developers please.

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    I need to build a AI IOS Mobile App for Hotel based on Sentiment Analysis

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    We have a startup website where users posts images and videos with some description. We need to place those posts in appropriate categories based on sentiment analysis. Only serious developers please. The milestone price varies depending on final decision.

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    ...enabling them to get a good grip on the cryptocurrency world. The platform uniquely combines network data, market data, source code data, cryptocurrency indexation and news (sentiment) data, on top of which a strong community governs and offers analyses. BitNorm, therefore, encompasses the ultimate crypto intelligence suite. Beyond offering this superior

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    ...natural language data into useful features using NLP techniques to feed classification algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques. Responsibilities ------------------------ -> Design NLP applications -> Select appropriate annotated datasets

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    ...natural language data into useful features using NLP techniques to feed classification algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques. Responsibilities ------------------------ -> Design NLP applications -> Select appropriate annotated datasets

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    I need to create a Flask app with python. The idea is to let the user upload it's dataset in a (csv, tsv, ...) format and create an i...python scripts that do NLP, I want to let the user pusht the text content, from the dataset run the scripts on the backend a push back the result to the interface (tasks are sentiment scores and text classification).

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    I need to create a Flask app with python. The idea is to let the user upload ...python scripts that do NLP, I want to let the user pusht the text content, from the dataset run the scripts on the backend a push back the result to the interface (tasks are sentiment scores and text classification). Please contact me for more details. Thanks in advance

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    1) Fetching Data From Company´s Facebook (or using existing FB/Twitter Dataset) 2) Sentiment Analysis, Building classification model 3) Sales Prediction (in combination with google trends) - can comments predict the sales? Details to be discussed.

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    I would like this software to be developed using Python and machine learning

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    We need a Linux-based social media toolset. Ideally Python3 but open to other suggestions. Tools to scrape content, do NLP and sentiment analysis, collect data and useful statistics.

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    Hi there, I want to make a review sentiment analysis program, we can have a talk

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    I would like this software to be developed using Python, and machine learning

    $10 - $30
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    Hi there, Need some help with TFIDF (map/reduce) and sentiment analysis mini project. Thanks, Y

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    Hi there, Need to complete a project for Map/Reduce -Extraction project and a classification model. Thanks!

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    ...before the programmer accepts the project. Please read the pre-requisite requirement above, before proceeding further. One of the aims of the project is to derive Twitter Sentiment scores from knowledge of the volume of Tweets on given topic or topics. Exact Github Url will be sent only to the developers who bid. Please read the Pre-requisite requirements

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    ...prediction and also suggest investment in the stock and connect with trading platform and do investment on behalf of the Customer. It needs to be build in Python, Perform Sentiment analysis from news articles posted on web about individual companies/sectors. The scope of data collection would also include BSE corporate announcements, earning transcripts

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    11 bids

    in this project we are looking forward to analyze movie reviews from twitter and to process them on the basis of sentiment and give those sentiment a point and then find the average rating based on that and other by analyzing sarcasm in those reviews and give those sarcasm a point and then find the rating by considering sarcasm . in general the web

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    ...before the programmer accepts the project. Please read the pre-requisite requirement above, before proceeding further. One of the aims of the project is to derive Twitter Sentiment scores from knowledge of the volume of Tweets on given topic or topics. Exact Github Url will be sent only to the developers who bid. Please read the Pre-requisite requirements

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    Mobile app develop in Hyybrid as both Android & Ios.

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    ...before the programmer accepts the project. Please read the pre-requisite requirement above, before proceeding further. One of the aims of the project is to derive Twitter Sentiment scores from knowledge of the volume of Tweets on given topic or topics. Exact Github Url will be sent only to the developers who bid. Please read the Pre-requisite requirements

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    I want a program which has the following feature. I want to give the program a link of a Youtube video and the program retrieves the comments which are under the video and estimates the polarity of the comment. Offer the information of what polarity does any program have. Wether it is neutral, positive or negative. I want to apply the program to a certain video using its url and not to all youtube...

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    Twitter Sentiment analysis, The goal is to evaluate the performance of the Parallel Support Vector Machine algorithms in classifying sentiment of Twitter data and compare the same algorithm with other ML algorithms(eg recurrent neural network). using- python

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    Hi there, Hope this finds you well. I need help with a Hadoop...with a Hadoop/Map reduce project. Once this successfully gets completed, I'm happy to provide you with more [login to view URL] project is about creating a program to perform sentiment classification from feature extraction to classification. Looking forward to hearing from you. Thanks, Y

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    I would like this software to be developed for Linux using Python. Developer should be proficient python and php and familiar with the area of AI.

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    need short paragraph plagiarism free on sentiment analysis

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    ...content (images, video and written). Leverage social tools to monitor and influence brand sentiment and engagement including Hootsuite Enterprise Engage directly with audiences – including customers, fans and influencers - across digital channels to drive positive sentiment, loyalty, and advocacy for the brand. This includes social media platforms, ratings

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    ...content (images, video and written). Leverage social tools to monitor and influence brand sentiment and engagement including Hootsuite Enterprise Engage directly with audiences – including customers, fans and influencers - across digital channels to drive positive sentiment, loyalty, and advocacy for the brand. This includes social media platforms, ratings

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    ...doubts. * Sentiment precision: you will have to validate the sentiment detected by the system (positive/negative/neutral) from 1000 mentions (short snippets of text of around 6 words). NOTE: In order to ensure the expected quality of the files, the accepted margin of error of the Sentiment precision file is of around 5% based on previous analysis. The payment

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    ...doubts. * Sentiment precision: you will have to validate the sentiment detected by the system (positive/negative/neutral) from 1000 mentions (short snippets of text of around 6 words). NOTE: In order to ensure the expected quality of the files, the accepted margin of error of the Sentiment precision file is of around 5% based on previous analysis. The payment

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    ...doubts. * Sentiment precision: you will have to validate the sentiment detected by the system (positive/negative/neutral) from 1000 mentions (short snippets of text of around 6 words). NOTE: In order to ensure the expected quality of the files, the accepted margin of error of the Sentiment precision file is of around 5% based on previous analysis. The payment

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    ...doubts. * Sentiment precision: you will have to validate the sentiment detected by the system (positive/negative/neutral) from 1000 mentions (short snippets of text of around 6 words). NOTE: In order to ensure the expected quality of the files, the accepted margin of error of the Sentiment precision file is of around 5% based on previous analysis. The payment

    $16 / hr (Avg Bid)
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    ...doubts. * Sentiment precision: you will have to validate the sentiment detected by the system (positive/negative/neutral) from 1000 mentions (short snippets of text of around 6 words). NOTE: In order to ensure the expected quality of the files, the accepted margin of error of the Sentiment precision file is of around 5% based on previous analysis. The payment

    $16 / hr (Avg Bid)
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    ...doubts. * Sentiment precision: you will have to validate the sentiment detected by the system (positive/negative/neutral) from 1000 mentions (short snippets of text of around 6 words). NOTE: In order to ensure the expected quality of the files, the accepted margin of error of the Sentiment precision file is of around 5% based on previous analysis. The payment

    $17 / hr (Avg Bid)
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    ...doubts. * Sentiment precision: you will have to validate the sentiment detected by the system (positive/negative/neutral) from 1000 mentions (short snippets of text of around 6 words). NOTE: In order to ensure the expected quality of the files, the accepted margin of error of the Sentiment precision file is of around 5% based on previous analysis. The payment

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    ...doubts. * Sentiment precision: you will have to validate the sentiment detected by the system (positive/negative/neutral) from 1000 mentions (short snippets of text of around 6 words). NOTE: In order to ensure the expected quality of the files, the accepted margin of error of the Sentiment precision file is of around 5% based on previous analysis. The payment

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    ...doubts. * Sentiment precision: you will have to validate the sentiment detected by the system (positive/negative/neutral) from 1000 mentions (short snippets of text of around 6 words). NOTE: In order to ensure the expected quality of the files, the accepted margin of error of the Sentiment precision file is of around 5% based on previous analysis. The payment

    $18 / hr (Avg Bid)
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    ...doubts. * Sentiment precision: you will have to validate the sentiment detected by the system (positive/negative/neutral) from 1000 mentions (short snippets of text of around 6 words). NOTE: In order to ensure the expected quality of the files, the accepted margin of error of the Sentiment precision file is of around 5% based on previous analysis. The payment

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    ...doubts. * Sentiment precision: you will have to validate the sentiment detected by the system (positive/negative/neutral) from 1000 mentions (short snippets of text of around 6 words). NOTE: In order to ensure the expected quality of the files, the accepted margin of error of the Sentiment precision file is of around 5% based on previous analysis. The payment

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    HI, need something similar to the attached video clips. There is some creative license here but the sentiment needs to be the same.

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    Perform sentiment analysis on data acquired through web pages.

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    We are collecting a lot of content . We intend to analyze the sentiment and key words in given content (NOUN, VERB, ADJECTIVE, ADVERB) Pls help set this up as an internal API on our website.

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    I'd like some help in getting twitter data(uber reviews) using flume and storing it in hdfs. The tweets need to be broken down into positive, negative and unknown words. The data must be presented in graph or charts. The coding must be done in java. Message me for more details.

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    ...planning Having a solid customer service/success background helps Flexible and comfortable in a super fast-paced environment Skills: Communication Reputation Management Sentiment management Amazon Reviews Product Reviews Community Management Reviews responses Reviews management This is a position we are looking to fill as soon as possible and it starts

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