Check and categorise 9500 French social media messages

Background We have 2 spreadsheets of social messages. We need a native French speaker to check in total 9500 messages, together with putting the correct values in the "human verify" column. (Label the correct sentiment in separate column, -1 is negative sentiment, 0 is neutral and +1 is positive sentiment. Instructions file: "french_negative_lexicon_to_label_v3" Note: This spreadsheet meant to show all social messages with negative sentiment. 1. Refer quickly between row 1 -2774 to see how the data were previously tagged, i.e. if the social message is supposed to be positive, put 1 ; if the social message is supposed to be neutral, put 0, if the social message is negative, do nothing. 2. tag data in the "human verify" column, for row 2775-6190 file: "french_positive_lexicon_to_label_v2" Note: This spreadsheet meant to show all social messages with positive sentiment. 1. Tag data in the "human verify" column, for row 2 -6086. If the social message is supposed to be negative, put -1 ; if the social message is supposed to be neutral, put 0, if the social message is positive, do nothing. Milestone: The initial milestone for this project is to work through 950 messages, then message the results to us to check. (we can release £30 for the work done)