Sentiment analysis using php jobs

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    1,152 sentiment analysis using php jobs found, pricing in USD

    We have a project to write program for Sentiment-Analysis on Tweets using Support Vector Machine (SVM). this is for academic purposes. Program should be written on Java

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    It is the first step in sentiment analysis .apply preprocessing technique fore commerce dataset

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    Need to publish paper on sentiment analysis and on any topic Sentiment analysis Data science

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    twitter sentiment analytics 3 days left
    VERIFIED

    You will do twitter sentiment analysis using python. Not extreme work is needed, just find out few basic sentiment analysis, lets say, what people think about the top usa company, they feedback on them, positive, negative, which politician is most famous etc. such analysis.

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    Memo Report 3 days left

    Submit 2-3 page short report [you will make recommendations] based on the following scenario. Use a memo format; include headings. The primary audience is the senior man...company should expand its use of social media . In order to make sound recommendations, research at least two companies which currently use social media to gauge customer sentiment.

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    It is a project pointed on predicting customer sentiment over the reviews data. Model to classify into segments like electronics, home, tech... It has to identify some topics from corpus from each segment. then calculate sentiment out of given reviews like positive, negative and neutral.

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    I need a savvy marketer or e-commerce professional who lives and...don't need specific dates I just need them listed in the month in which they occur. I also need listed the type of content or sentiment that is popular among fashion retailers month to month. Ie in January comment sentiment is around back to work. See attached file for reference

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    ...working code which is currently used to extract English keywords from English texts. The working code does the following: 1. Tokenize the text into sentences. 2. Perform sentiment analysis on each sentence and assign the sentence score to each word. 3. Tokenize the sentence into words. 4. Find POS tags and filter out unwanted words (like Personal Nouns)

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    Azure Machine Learning and Statically Analysis using R programming, Spark , Haddop mapreduce. Text classification, Sentiment analysis,Predective ecpriment.

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    HI...we are looking for small search engine which can c...can select a site name, review cached content per site basis and drag/drop specific fields of content(title, description, price, etc) . We intend to either download or sentiment analysis of the cached content. Solution should be self sustainable with no dependency on google or microsoft APIs.

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    I need someone to mine or scrape for a research project that aims to carry out a sentiment analysis on the data. A python crawler seems to be the way to go. Thanks!

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    Need two programs one using twitter to download tweets and username from twitter stream and another program to do sentiment analysis. I will only pay when the whole project is done

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    I need datasets to work on sentiment analysis of users. Need specific # comments from twitter. From recent comments of atleast 2000 in [login to view URL] to have this in an excel file with date of posting and that comment and any other details. Keywords are HULU, hulureview and netflix.

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    Hi Volodymyr S, I have a small project on sentiment analysis. I will provide you the requirements and you can have a look at it and decide the budget and time.

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    Hi Drik P, I have a short project on sentiment analysis using R programming language. Let me know if you are interested, I will give you the requirements. You can look into it and we can discuss the budget!

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    ...involves reading a short piece of text harvested from the web, determining whether it is relevant or irrelevant in regards to a particular topic or brand, and assigning a sentiment (positive, negative, neutral) to relevant posts. The curation process enables us to provide our clients with valuable insights into general trends among consumers, what they

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    ...( if possible the coordinates of each store) 2) on the same companies I need a social network scrubbing on them from the last 12 months (divided per month) + simple sentiment analysis if possible 3) again on the same companies I from there menus on their website I need the total number of the product, number vegan-friendly dishes, number healthy dished

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    ...dog lovers. With this in mind we source quirky/ unorthodox products made by some of the best brands in the world and are hence looking for a writer who can reflect the same sentiment and ideology whilst generating content for our website. We're looking for freelance writers who can produce quality, original, informative content for our websites, blogs

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    Hello, I am looking for one, two or three developers to do the following. Please respond if you have experience with one or more, machine learning, sentiment analysis, web development, email parsing. Only applicants with relevant experience will be considered. Thank you 1) Periodically parse through an email inbox (Outlook 365) 2) Periodically parse

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    Hi Albab Ahmad K, I have a small project on sentiment analysis. Let me know if you are interested, we will discuss the budget and you can decide once you see the requirements.

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    Looking for someone with experience pulling data from webhose and extracting sentiments. Tools to be conversant with: Webhose, Simhash, WORD2VEC, NLTK,LDA etc.

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    Analyse the review data and give out the sentiments of the user reviews

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    The project is do a Sentiment Analysis of companies' social media mentions. We have Excels of all the social media mentions. We need someone to go through this and mark how the company talked about (Positive, Negative and Neutral). This is an ongoing project for at least 6 months, with a possibility of extending to over a year. I would want to know

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    hello,i want to build a sentiment forex trading website but before i can start to say mlore...kindly send your offers to help IF ONLY....you have a past demo of your work or current exchange yu have build wich is forex so i can see

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    ...platforms. They will work with other members of the content team to coordinate content marketing initiatives and give direction to other content creators in regards to voice, sentiment, and overall experience of the intended audience. The Social Media Manager specializes in creating and curating a variety of content across the social web in order to support

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    We have an Excel of all the social media mentions for a few companies. We want someone to categorize the posts based on their sentiment (Positive, Negative, Neutral). This will be an ongoing project for 6 months. Estimated time commitment - 35 hrs per month

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    Needs: * Do another version of my work with AT-LSTM (I already used LSTM with 3 layers) Use the existing data prep. * Do a report to compare both approa...compare both approach (my existing model and the new one). -- Code done with python (Keras lib) -- I have datasets (train - test set) and my actuel accuracy is 67% -- I'm using Jupyter notebook.

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    ...unfortunately I just don't have the time. - Application monitors certain news websites for newly posted articles. - Using the [login to view URL] api the application determines the articles sentiment. If sentiment is positive the application stops. If sentiment is negative the application continues with the following steps. - application identifies which com...

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    Please describe in the report how the unsupervised topic analysis has been executed? on top of the topic analysis, we have performed sentimental analysis and compared the demographic analysis to the results of the topic modeling. In my part, i am only responsible for the topic analysis part(description). in the report we have to think of the following:

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    ...2. Unique users. 3. engament. 4. reach 5. impressions. For the chosen data range. Phase 2 1. will show most influential users for that hastag 2. location 3. sentiment of the hastags 4. demographics 5. top sources There is an existing solution you could take a look to see for free trial also called: [login to view URL] I attached also

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    ...Country: Only India • States/Regions: Delhi/NCR + Mumbai + Bangalore + Kolkata + Chennai + • Source: Zomato vs Food Panda vs Swiggy • Dish: French fries + Potato Wedges • Sentiment: Positive + Negative + Neutral • Emotion: Delight + Happiness/contentment + Disappointment + Anger + Disgust + Hatred • Input Key Words Usage Context: Positive vs Negative

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    Re...Products (3-5) 3. Book Appointments (Using Google Calendar) 4. Provide Nearest Branch location and directions (Using Google Map) 5. Take Feedback/Suggestions (kind of survey/message box) 6. Store Data (for analytics) 7. Transfer to Human Agent (just for demonstration) It should include: 1. NLP 2. ML 3. Sentiment Analysis Preference is coded bot

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    Hi all, I have a dataset contains number of videos. I would like to detect the sentiment and opinion for them using deep learning techniques. There is a complete project in English and I would like to apply it on other languages such as Persian. The project contains slight modification for the existed project and provide a final report. Please check

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    suggest some good title for nlp's summarize,tf-idf,sentiment,tag .

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    Looking for react and AI very very expert. I have react site. Look at attached file. Freelancer must do logo&text detection and sentiment analysis. For example, if user search "Adidas" then site have to search images containing "Adidas" text and Brand on database. So if you aren't AI&react very expert, don't bid. Thanks

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    Hi, I need someone to develop a python sentiment analysis of tweets based on dictionary. I have a tweet dataset (json) and a dictionary (txt) with values for each word. The task is to perform a sentiment analysis and sort the tweets according to their popularity (most positive first). PRICE CAN BE NEGOTIATED, I prefer option 2 - a full solution, well

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    I will provide you with sample code. I want you to develop a new code that analyzes sample texts and provide the following information: - Sentiment: o Find the percentage of positive vs negative documents in the entire sample texts o Find the average and standard deviation of the positive and negative scores - Emotion: The average and standard deviation

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    ...Products (3-5) 3. Book Appointments (Using Google Calendar) 4. Provide Nearest Branch location and directions (Using Google Map) 5. Take Feedback/Suggestions (kind of survey/message box) 6. Store Data (for analytics) 7. Transfer to Human Agent (just for demonstration) It should include: 1. NLP 2. ML 3. Sentiment Analysis Preference is coded bot, can also

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    We are looking for someone who can perform sentiment analysis (a popular data science technique) on website data. The person needs to be proficient in statistics, python and web scraping.

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    Hi, We are looking for someone who can perform sentiment analysis (a popular data science technique) on website data. The person needs to be proficient in statistics, python and web scraping. Description : * We will do web-scraping against major newspaper sites / news sites. * For each date, store and pull the headlines. * For each headline pulled

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    I am looking for a expert who has knowledge of development of predictive mode for detecting article writer's emotions on politician

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    Trophy icon Design a book cover Ended

    ...fantasy stories. Aimed at teens/adults but written for all ages, with no swearing, light violence in one story, and absolutely no gore or sexual themes. The prevailing sentiment that the cover gives should be a serious and heartfelt warmth, nothing goofy. None of the stories have dominant comedic themes, and they all feature an main characters under

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    Need an expert in report writing who knows Matlab and machine learning. Topics are related to - Text Classification - Sentiment Analysis

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    ...Language processing expert is urgently needed to extract all the contents of a particular hashtag and event name mention for an extensive thematic/content/sentiment analysis plus key word frequency analysis, word cloud of individuals with most post, most liked, most retweeted, most popular pictures, videos etc. A detailed report will be required to summarise

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    This script would be written in Python. It should read in a .csv ...for a column (specified as column_name) in each row perform content analysis based on a dictionary. This should create a new CSV with categories for each row and frequency counts. I have already added in sentiment analysis, but am struggling with the dictionary based content analysis.

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    This script would be written in Python. It should read in a ...for a column (specified as column_name) in each row perform content analysis based on a dictionary. This should create a new CSV with categories for each row and frequency counts. I have already added in sentiment analysis, but am struggling with the dictionary based content analysis.

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    To combine to 2 pieces of python code for topic models and sentiment analysis for ML/DL classification

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    ...Products (3-5) 3. Book Appointments (Using Google Calendar) 4. Provide Nearest Branch location and directions (Using Google Map) 5. Take Feedback/Suggestions (kind of survey/message box) 6. Store Data (for analytics) 7. Transfer to Human Agent (just for demonstration) It should include: 1. NLP 2. ML 3. Sentiment Analysis Preference is coded bot, can also

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